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Low-Noise Analog Front-End Signal Processing Channel Integration for Pixelated Semiconductor Radiation Detector by Ming-Cheng Lin B. A. Sc, Simon Fraser University, 2009 Thesis Submitted in Partial Fulfillment of the Requirements for the Degree of Master of Applied Science in the School of Engineering Science Faculty of Applied Sciences © Ming-Cheng Lin 2012 SIMON FRASER UNIVERSITY Spring 2012 All rights reserved. However, in accordance with the Copyright Act of Canada, this work may be reproduced, without authorization, under the conditions for “Fair Dealing.” Therefore, limited reproduction of this work for the purposes of private study, research, criticism, review and news reporting is likely to be in accordance with the law, particularly if cited appropriately.

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Page 1: Low-Noise Analog Front-End Signal Processing Channel ...summit.sfu.ca/system/files/iritems1/12104/etd7036_MLin.pdf · Channel Integration for Pixelated Semiconductor ... Figure 2.5

Low-Noise Analog Front-End Signal Processing

Channel Integration for Pixelated Semiconductor

Radiation Detector

by

Ming-Cheng Lin

B. A. Sc, Simon Fraser University, 2009

Thesis Submitted in Partial Fulfillment of the Requirements for the Degree of

Master of Applied Science

in the

School of Engineering Science

Faculty of Applied Sciences

© Ming-Cheng Lin 2012

SIMON FRASER UNIVERSITY

Spring 2012

All rights reserved. However, in accordance with the Copyright Act of Canada, this work

may be reproduced, without authorization, under the conditions for

“Fair Dealing.” Therefore, limited reproduction of this work for the purposes of private

study, research, criticism, review and news reporting is likely to be in accordance with

the law, particularly if cited appropriately.

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Approval

Name: Ming-Cheng Lin

Degree: Master of Applied Science

Title of Thesis: Low-Noise Analog Front-End Signal Processing

Channel Integration for Pixelated Semiconductor

Radiation Detector

Examining Committee:

Chair: Dr. Mirza Faisal Beg, P.Eng

Associate Professor, School of Engineering Science

Dr. Marek Syrzycki, P.Eng

Senior Supervisor

Professor, School of Engineering Science

Dr. Rick Hobson, P.Eng

Supervisor

Professor, School of Engineering Science

Dr. Ash M. Parameswaran, P.Eng

Examiner

Professor, School of Engineering Science

Date Defended/Approved:

January 30, 2012

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Partial Copyright Licence

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Abstract

In the research development of the medical nuclear imaging, the low noise performance

has always been a mandatory requirement in the design of the semiconductor pixelated

radiation detector system in order to achieve the high detectability of the charge signal.

The noise-optimized analog front-end signal processing channel composed of the charge

sensitive amplifier and the pulse shaper is used extensively in processing the radiation

charge signals from the pixelated semiconductor detector. The existing noise

optimization methodology only deals with the major noise contributors such as the input

transistor in the charge sensitive amplifier. However, as CMOS technologies progress

deeper into the submicron range, the power supply voltages are decreasing and hence, the

noise contributions of the secondary noise sources such as the current source transistor in

the charge sensitive amplifier are increasing. This thesis presents a noise optimization

methodology for the current source transistors in the charge sensitive amplifier that will

complement the existing noise optimization methodology.

Using IBM 130nm CMOS technology, the proposed current source transistor noise

optimization methodology has been applied to design a noise optimized charge sensitive

amplifier. With the low single channel power consumption in the range of a few mW, the

analog front-end signal processing channel features a noise optimized charge sensitive

amplifier and a first order CR-RC pulse shaper with short peaking time. The results of the

pre-layout and the post-layout simulations make the design a very good candidate for the

low-power system integration. Future directions for this thesis are now being considered,

which include designing the additional analog-to-digital block for the signal extraction

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circuitry as well as developing the complete and optimized layout for the targeted 16

analog front-end signal processing channels.

Keywords: Analog front-end signal processing channel; charge sensitive amplifier

(CSA); CR-RC pulse shaper; equivalent noise charge (ENC); noise

optimization methodology; reset network (Rf); adaptive continuous reset;

pole-zero cancellation; thermal noise; flicker noise

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Acknowledgements

I would like to thank my family for their support and patience. A special thanks to my

girlfriend, Sophie Yue, who has prayed for me almost every day and accompanied me

during my highs and lows. Thanks to our Lord, Jesus Christ, for everything.

I would like to express my deepest appreciation to my senior supervisor Dr. Marek

Syrzycki for giving me the opportunity to conduct research in the area of Analog IC

design at SFU. Dr. Syrzycki’s has provided me with the valuable guidance and advice for

this work. I truly appreciate for his encouragement, patience, and constructive criticisms

during these two years of my M.A.Sc. studies. Thanks also to my thesis committees, Dr.

Hobson and Dr. Parameswaran, for reviewing my thesis and offering their suggestions on

improvements. In addition, thanks to the chair, Dr. Beg, for holding my thesis defense.

Finally, I want to express my appreciation to my colleagues in the VLSI design lab, Eddy

Lin, Cheng Zhang, and Thomas Au for their timely support and strong input to my

research work. I am very grateful for having this journey with you guys.

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Table of Contents

Approval ................................................................................................................................. ii

Abstract .................................................................................................................................. iii

Acknowledgements .................................................................................................................v

Table of Contents.................................................................................................................. vi

List of Tables ......................................................................................................................... ix

List of Figures .........................................................................................................................x

List of abbreviation ............................................................................................................ xiv

Chapter 1 Introduction ......................................................................................................1

1.1 Pixelated semiconductor radiation detector .............................................................1

1.2 Radiation detector system .........................................................................................2

1.3 Motivation..................................................................................................................4

1.4 Organization of Thesis ..............................................................................................6

Chapter 2 Analog front-end signal processing channel overview...............................7

2.1 Detector modeling .....................................................................................................8

2.2 Charge sensitive amplifier ........................................................................................8

2.2.1 The output response of the charge sensitive amplifier ....................................9

2.2.2 Preamplifier structure ......................................................................................10

2.2.3 Reset network implementation .......................................................................12

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2.2.4 Adaptive continuous reset network ................................................................13

2.3 Pulse shaper .............................................................................................................15

2.3.1 The peaking time and the pulse amplitude of the pulse shaper ....................16

2.3.2 Pole-zero cancellation .....................................................................................17

Chapter 3 Noise optimization of the charge sensitive amplifier ...............................20

3.1 Noise measurement scheme - ENC ........................................................................21

3.2 Input transistor optimization methodology for the CSA with fast shaper ...........22

3.3 Current source transistor noise optimization methodology for CSA ...................26

Chapter 4 Design of charge sensitive amplifier ...........................................................30

4.1 Preamplifier design .................................................................................................31

4.1.1 Formulas for the mid-band gain and the frequency response of the

preamplifier .....................................................................................................................32

4.1.2 The geometries design for the preamplifier transistors .................................34

4.1.3 AC simulation of the preamplifier (open-loop) .............................................37

4.2 The reset network and the feedback capacitor design...........................................38

Chapter 5 Pulse shaper design .......................................................................................40

5.1 The output response of the pulse shaper ................................................................40

5.2 Passive component design for the pulse shaper ....................................................42

5.3 Shaper amplifier design ..........................................................................................45

Chapter 6 The simulation of the analog front-end signal processing channel ........48

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6.1 The power characteristics .......................................................................................49

6.2 Transient simulation ................................................................................................51

6.2.1 The charge-to-voltage conversion rate of the analog front-end signal

processing channel ..........................................................................................................51

6.2.2 High counting rate simulation.........................................................................55

6.3 Noise simulation ......................................................................................................58

Chapter 7 The layout design ...........................................................................................61

7.1 The detailed layout for component ........................................................................63

7.2 The post-layout simulation .....................................................................................66

7.2.1 The post-layout transient simulation ..............................................................66

7.2.2 Post-layout noise simulation ...........................................................................73

7.3 Performance summary ............................................................................................74

Chapter 8 Conclusion and future work ........................................................................76

References ..............................................................................................................................78

Appendix A. The test of the current source noise optimization methodology ...........82

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List of Tables

Table 1.1 The design specification of the analog front-end signal processing channel.......5

Table 3.1 Shaping coefficient for the semi-Gaussian shapers of different order [4] ........24

Table 4.1 MOSFET parameters of 3.3V MOSFET in IBM 130nm CMOS technology ..31

Table 4.2 Calculated optimum aspect ratios and channel length for current source

transistors M4 and M6 ...........................................................................................................35

Table 5.1 The values of the resistors and capacitors for the shaper peaking time (τp)

equivalent of 100ns ................................................................................................................42

Table 6.1 Power consumption summary for single analog front-end signal processing

channel ....................................................................................................................................51

Table 6.2 The noise contribution from each component in the analog front-end signal

processing channel .................................................................................................................59

Table 7.1 The pre-layout and post-layout performance summaries for the analog front-

end signal processing channel ...............................................................................................74

Table 7.2 Performance comparisons between this work and other related works ............74

Table 8.1 The pre-layout and post-layout performance summaries for the analog front-

end signal processing channel ...............................................................................................77

Table A.1 Theoretical and values and their simulated results for current source

transistor M4 and M6 in four preamplifiers.......................................................................85

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List of Figures

Figure 1.1 The CZT pixelated semiconductor radiation detector [1] ...................................1

Figure 1.2 The process to create medical nuclear images ....................................................2

Figure 1.3 Medical nuclear images of human brains [4] .....................................................2

Figure 1.4 The radiation detector system with 16 anode front-end signal processing

channels .....................................................................................................................................3

Figure 2.1 Analog front-end signal processing channel .......................................................7

Figure 2.2 The equivalent model of the pixelated detector ..................................................8

Figure 2.3 A current pulse which contains 10fC of input charge (Qin) ................................8

Figure 2.4 The output response of the charge sensitive amplifier for an input current

pulse.........................................................................................................................................10

Figure 2.5 Folded cascode amplifier [9] ..............................................................................11

Figure 2.6 Dual PMOS cascode amplifier [10] ...................................................................11

Figure 2.7 The CSA reset network realized by a resistor-like MOS transistor .................12

Figure 2.8 Adaptive continuous reset implemented with the CSA [11] ............................14

Figure 2.9 The CR-(RC)n pulse shaper diagram .................................................................16

Figure 2.10 The shift of the baseline for the shaper output pulses due to the extra pole of

the reset network.....................................................................................................................17

Figure 2.11 The pole-zero cancellation circuitry implemented within the pulse shaper

[15] ..........................................................................................................................................18

Figure 2.12 The pole-zero cancellation implemented by the transistor Mpz [8] ................19

Figure 3.1 The primary noise contributors of the analog frolnt-end signal processing

channel ....................................................................................................................................20

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Figure 3.2 The ENC for the analog front-end signal processing channel ..........................22

Figure 3.3 The input transistor of the preamplifier that adopts dual PMOS cascode

amplifier structure [10] ..........................................................................................................23

Figure 3.4 The current source transistors for the preamplifier that adopts dual PMOS

cascode amplifier structure [10] ............................................................................................26

Figure 4.1 The targeted value of the detector capacitance (Cdet), the feedback capacitance

(Cf), and the shaper peaking time (τp) for the analog front-end signal processing channel

.................................................................................................................................................30

Figure 4.2 The preamplifier structure ..................................................................................32

Figure 4.3 Major parasitic capacitances associated with poles of the frequency

characteristics in the preamplifier .........................................................................................33

Figure 4.4 The targeted value of the biasing current and the overdrive voltages for the

core amplifier ..........................................................................................................................35

Figure 4.5 The preamplifier structure with transistors’ aspect ratios .................................36

Figure 4.6 The gain magnitude of the preamplifier.............................................................37

Figure 4.7 The phase of the preamplifier .............................................................................37

Figure 4.8 The transistor level implementation for the capacitor ......................................39

Figure 4.9 Adaptive continuous reset implemented with the reset network of the CSA ..39

Figure 5.1 The 1st order CR-RC pulse shaper design implemented with the analog front-

end signal processing channel ...............................................................................................40

Figure 5.2 The 1st order CR-RC pulse shaper design using transistor implementation for

passive components ................................................................................................................43

Figure 5.3 The shaper resistor Ri implementation ...............................................................44

Figure 5.4 The shaper amplifier design ...............................................................................46

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Figure 5.5 The gain magnitude of the shaper amplifier ......................................................47

Figure 5.6 The phase of the shaper amplifier ......................................................................47

Figure 6.1 The analog front-end signal processing channel integration ............................49

Figure 6.2 The sharing of the biasing circuits among 16 processing channels .................50

Figure 6.3 The input current pulse for a radiation event with input charge Qin =10fC.....52

Figure 6.4 The CSA output response for Qin = 10fC ..........................................................52

Figure 6.5 The shaper output response for Qin = 10fC........................................................53

Figure 6.6 The shaper output responses vs. the input charge .............................................54

Figure 6.7 The shaper output amplitude vs. the input charge .............................................54

Figure 6.8 The input current pulses with frequency of 100kHz .........................................55

Figure 6.9 The shaper output response for input pulse frequency of 100kHz ...................56

Figure 6.10 The input current pulses with frequency of 500kHz .......................................56

Figure 6.11 The shaper output response for input pulse frequency of 500kHz.................57

Figure 6.12 The input current pulses with frequency of 1MHz .........................................57

Figure 6.13 The shaper output response for input pulse frequency of 1MHz ...................58

Figure 6.14 The ENC for the designed signal processing channel vs. the detector

capacitances ............................................................................................................................60

Figure 7.1 The floor plan for 16 analog front-end signal processing channels .................61

Figure 7.2 The rotated layout for the single signal processing channel without the

adaptive continuous reset .......................................................................................................62

Figure 7.3 The layout division for the analog front-end signal processing channel .........63

Figure 7.4 The layout for the preamplifier and the feedback capacitor .............................64

Figure 7.5 The layout for the biasing network of the preamplifier ....................................64

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Figure 7.6 The layout for the reset network, the pole-zero cancellation circuitry, and the

shaper capacitors.....................................................................................................................64

Figure 7.7 The layout for the shaper amplifier ....................................................................65

Figure 7.8 The layout module for the biasing network of the shaper amplifier ................65

Figure 7.9 The layout module for the shaper resistor .........................................................65

Figure 7.10 The layout module for the adaptive reset network ..........................................66

Figure 7.11 Input current pulse for a radiation event with input charge equal 10fC ........67

Figure 7.12 The CSA output response for Qin = 10fC ........................................................67

Figure 7.13 The shaper output response for Qin = 10fC .....................................................68

Figure 7.14 The shaper output response vs. the input charge .............................................69

Figure 7.15 The shaper output amplitude vs. the input charge...........................................70

Figure 7.16 The shaper output response for the input pulse frequency of 100kHz ..........71

Figure 7.17 The shaper output response for the input pulse frequency of 333kHz ..........71

Figure 7.18 The shaper output response for input pulse frequency of 500kHz.................72

Figure 7.19 The shaper output response for input pulse frequency of 1MHz ...................72

Figure 7.20 The ENC of the designed signal processing channel with the layout

parasitics vs. the detector capacitance ...................................................................................73

Figure A.1 Four CSAs with 4 selected current source noise scaling factors ....................82

Figure A.2 The noise optimized current source transistor geometries for M4 and M6 ....83

Figure A.3 First order CR-RC pulse shaper designed in HSPICE .....................................84

Figure A.4 Simulated ENC for four CSAs designed with current source thermal noise

scaling factor = 10% and the current source flicker noise scaling factor = 10%

to 40% .....................................................................................................................................84

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List of abbreviation

CZT Cadmium zinc telluride

CSA Charge sensitive amplifier

ENC Equivalent Noise Charge

The Equivalent Noise Charge contribution from the thermal noise

of the input transistor in the CSA preamplifier

The Equivalent Noise Charge contribution from the flicker noise of

the input transistor in the CSA preamplifier

The Equivalent Noise Charge contribution from the thermal noise

of the current source transistor in the CSA preamplifier

The Equivalent Noise Charge contribution from the flicker noise of

the current source transistor in the CSA preamplifier

The shot noise from the detector leakage current

The noise from the resistors in the pulse shaper

The noise from the reset network in the CSA

The noise from the transistors in the CSA preamplifier

Qin Input charge

Cf Feedback capacitor

Rf Reset network / Feedback resistor

Cdet Detector capacitance

τp Peaking time of the pulse shaper

Ipulse The input current pulses that model the radiation events

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Vout(CSA) The output response of the charge sensitive amplifier

Vout(Shaper) The output response of the pulse shaper

Vsignal(out) The amplitude of the shaper output waveform

Vnoise(out) The r.m.s noise voltage at the shaper output

Kf The flicker noise coefficient of the MOSFET

Cg The gate capacitance of the MOSFET

αf The flicker noise slope coefficient of the MOSFET which is larger

than 1 for PMOS and smaller than 1 for NMOS

k The Boltzmann constant = 1.38×10-23

m2

kg s-2

K-1

T The absolute temperature

Cox The gate oxide capacitance per unit area

gm The transconductance of the MOSFET transistor

ɑw The shaping coefficients for the thermal noise

ɑf The shaping coefficients for the flicker noise

Cov The overlap capacitance per channel width of the MOSFET

The thermal noise scaling factor of the current source transistor

The flicker noise scaling factor of the current source transistor

AV The open-loop gain of the amplifier

Rout The output resistance of the amplifier

GBW The gain-bandwidth product

r.m.s Root mean square

SPECT Single-photon emission computed tomography

PET Positron emission tomography

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Chapter 1 Introduction

1.1 Pixelated semiconductor radiation detector

Over the years, the rapid improvement for the pixelated semiconductor radiation detector

system such as the CdZnTe (CZT) detection system has led to an increase in the number

of medical nuclear imaging applications including SPECT and PET imaging [1]. CZT is

a semiconductor that can directly convert X-ray or Gamma-ray photons into electron and

hole pairs in the room temperature [2]. A strong electric field (of the order of several

hundreds of volts per centimeter) is applied to sweep the electrons and holes to the

electrodes of cathode and pixelated anodes respectively (Figure 1.1) [1]. The sweeping of

the electrons and holes induces an electrical current pulse with time duration in the order

of nanoseconds [3]. By integrating the current pulse, the signal charge that is proportional

to the absorbed gamma photon energy is obtained [3].

Figure 1.1 The CZT pixelated semiconductor radiation detector [1]

Cathode plane (-500 ~ -1000V)

Readout electronics

Incident gamma ray

Pixelated anodes (GND)

CZT detector

Strong electric field

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The thickness of CZT detector varies according to the energy requirement in the

application. Typical crystal thickness is in the range of a few mm for low radiation

energy application and is as big as 15mm for high energy application [2].

1.2 Radiation detector system

The process of creating medical nuclear images from the radiation detector system

consists of three major steps: injection of the radioactive materials, radiation detection,

and computer analysis and image reconstruction, as shown in shown in Figure 1.2. The

patients are first injected with the radioactive material into their bodies prior to the

medical scanning. During the scanning process, the radiation detector system detects the

X-ray or Gamma-ray photons from the patients’ bodies and generates the corresponding

electrical signals [2]. A computer then processes the output electrical signals of the

radiation detectors and generates the medical images similar to those shown in Figure 1.3

[4].

Figure 1.2 The process to create medical nuclear images

Figure 1.3 Medical nuclear images of human brains [4]

Injection of the

radioactive material

Radiation

detection

Computer imaging

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The radiation detector system consists of three major blocks: pixelated semiconductor

radiation detector, the analog front-end signal processing channel with the low noise

characteristics, and signal extraction (Figure 1.4). The pixelated detector means that

detector’s anode consist of an n × n array of pixels, while detector’s cathode is one plate

(no pixels). For example, the illustrated pixelated detector with the anode consisting of

4x4 pixel array is shown in Figure 1.4.

Preamplifier

Qin

Pulse ShaperSignal

Extraction

4x4 pixelated semiconductor

radiation detector Analog front-end signal

processing channel

(one channel per pixel)

Computer

post-processing

CSA(One per pixel)

Radiation detector system

Reset

Figure 1.4 The radiation detector system with 16 anode front-end signal processing channels

Each anode pixel (Figure 1.4) is an input to an individual readout electronics consisting

of analog front-end signal processing channel and the signal extraction block. The

radiation event creates a charge signal (Qin) on one of detector pixels (anode). The size of

the electron cloud reaching the anode is much smaller than pixel dimensions, therefore

the x-y coordinates of the pixel producing the signal charge Qin are recognized as the x-y

coordinates of the gamma photon radiation event. The low noise analog front-end signal

processing channel consisting of a charge sensitive amplifier (CSA) and a pulse shaper

produces a Gaussian-like pulse that carries the information of energy magnitude and the

timing. The signal extraction block processes the Gaussian pulse generated by the analog

front-end signal processing channel and quantize the pulse amplitude for measurement of

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the photon energy, photon counting/integration, and the pulse peaking time for computer

post-processing [5].

1.3 Motivation

The scope of this thesis encompasses a low noise analog front-end signal processing

channel for radiation detector systems. The design includes a charge sensitive amplifier

(CSA) and a pulse shaper. The CSA amplifies the detector charge signals to the voltage

signal with a reset network and the pulse shaper filters the amplified signal before the

signal extraction step. The most important figures of merit for the analog front-end signal

processing channel are:

1. Equivalent noise charge (ENC) – the noise figure of merit that corresponds to the

noise charge of the analog front-end signal processing channel.

2. Single channel power consumption – the power consumption for the analog front-

end signal processing channel.

3. Input signal charge range – the input charge range that the signal processing

channel can process with a linear charge-to-voltage conversion gain.

4. Shaper peaking time (τp) – corresponds to the peaking time of the shaper output

pulse.

In order to achieve the high detectability of the charge signals, the low noise performance

corresponding to the low ENC is necessary for the radiation system. Targeting the high

signal-to-noise ratio of 200:1 recommended for the CZT radiation detector system [6],

the ENC is required to be less than a few hundred electrons for a typical high energy

application with the signal charge of 4fC [3]:

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4fC200

0.02fC 125 electrons

inS Q

N ENC ENC

ENC

(1.1)

In high density pixelated detectors where tens or hundreds of pixels are integrated, low

single channel power consumption in the range of a few mW is required to minimize the

total power consumption. In the high rate application where the interval between the

radiation events is short, a short shaper peaking time (smaller than 100ns) is commonly

chosen to prevent the pulse overlap [7]. The design specifications based on the low noise,

low power, and short shaper peaking time requirements targeted in this research are given

in Table 1.1.

Table 1.1 The design specification of the analog front-end signal processing channel

ENC

(in electrons)

Power per

channel

Input charge

range

Shaper

peaking time

This work <200 <6mW Up to 50fC 100ns

The objectives of this thesis include:

To investigate the major noise contributors in the analog front-end signal

processing channel

To develop a methodology that optimizes the major noise sources in the charge

sensitive amplifier

To design and implement the low-noise analog front-end signal processing

channel with a short peaking time using the IBM 0.13μm CMOS technology

The major contributions of this thesis have been the development of a methodology to

optimize the primary and the secondary transistor noise sources in the charge sensitive

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amplifier to enhance the overall low noise performance, and the evaluation of the

performance degradation due to physical integration in the deep-submicron (DSM)

CMOS technology.

1.4 Organization of Thesis

This thesis is divided into following chapters: Chapter 2 will introduce each component

in the analog front-end signal processing channel. Chapter 3 will discuss the noise

optimization methodology developed for the charge sensitive amplifier. In Chapter 4 the

design procedure of the charge sensitive amplifiers is covered. The design details of the

pulse shaper are to be presented in Chapter 5. The timing and noise simulation of the

designed analog front-end processing channel are presented in Chapter 6. In Chapter 7

the CMOS transistor layout for the analog front-end signal processing channel is

presented with the post-layout simulation results. Chapter 8 concludes the work of this

thesis and discusses the future research.

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Chapter 2 Analog front-end signal processing

channel architecture

When a radiation event occurs, a weak charge signal (Qin) proportional to the radiation

energy is generated in the pixelated semiconductor radiation detector (Figure 2.1). This

weak charge pulse is integrated onto the feedback capacitance (Cf) of the charge sensitive

amplifier to create a voltage pulse with the magnitude equal to the ratio of the input

charge (Qin) to the feedback capacitance (Cf). The reset network (Rf) is used for

preventing the CSA from saturation by discharging its output. The pulse shaper, which is

used to improve the signal to noise ratio, takes the voltage pulse and creates a Gaussian-

like pulse with peaking time equal τp. This Gaussian-like pulse which carries the time and

energy information will later be extracted in signal extraction circuitry.

Figure 2.1 Analog front-end signal processing channel

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8

2.1 Detector modeling

During the radiation event, the electrons and holes are swept into the electrodes and give

rise to a current pulse (Ipulse) with time duration in the order of nanoseconds, as discussed

in Section 1.1 [3]. The equivalent detector circuit is shown in Figure 2.2 where the

semiconductor detector pixel is modeled as a capacitor (Cdet) in parallel with the current

pulse (Ipulse) [3].

DetectorCdet

Radiation

event Ipulse

Figure 2.2 The equivalent model of the pixelated detector

The accumulated charge (Qin) that is proportional to the absorbed gamma photon energy

is equivalent of the integration for one current pulse (Ipulse) [3]. An example for one

radiation event equivalent to the charge of 10fC is shown in Figure 2.3.

10ns

1μA

Ipulse

Figure 2.3 A current pulse which contains 10fC of input charge (Qin)

2.2 Charge sensitive amplifier

Charge sensitive amplifiers (CSA) are essential components in the analog front-end

signal processing channel (Figure 2.1). The charge sensitive amplifier includes a

preamplifier, feedback capacitor (Cf), and the reset network (Rf). A CSA senses the

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9

electric charge collected in the pixelated semiconductor detector (Cdet) and converts its

charge into analog voltage domain signal through feedback capacitor (Cf). As a result of a

series of charge pulses reaching the CSA input, the total charge accumulated by the

feedback capacitor (Cf) may lead to the amplifier saturation. In order to discharge the

accumulated charge, a straightforward solution is to use a feedback resistor (Rf) parallel

to the feedback capacitor (Cf) [8].

2.2.1 The output response of the charge sensitive amplifier

The CSA output response to an input current pulse carrying charge Qin is in the complex

frequency domain equal [8]:

By using the inverse Laplace transform of the function we can derive the CSA output

response to an input charge in the time domain [8]:

where τf is the discharging time of the CSA output and is equal to the product of Cf and

Rf. The charge-to-voltage conversion gain is equal to the inverse value of the feedback

capacitor (Cf). As illustrated in Figure 2.4, for a CSA with feedback capacitance (Cf)

equal 100fF, feedback resistor (Rf) equal 50MΩ, and the input charge (Qin) equivalent of

10fC, the CSA output response is a voltage pulse with the amplitude equivalent of

( )( )

1

f

out CSA in

f f

RV s Q

sR C

(2.1)

( )( ) f

t

inout CSA

f

QV t e

C

(2.2)

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10

100mV and the discharging time for 5μs. The charge-to-voltage gain of the CSA is equal

to 10mV/fC.

Figure 2.4 The output response of the charge sensitive amplifier for an input current pulse

2.2.2 Preamplifier structure

The major design requirements for the preamplifier are the low noise performance and

the high mid-band gain. Since the noise of the preamplifier is usually dominated by its

input transistor, the task of the noise optimization is focused on the input transistor

design. In CMOS technology, there are P-type and N-type MOS transistors available. P-

type MOS transistor is characterized by a lower flicker noise than its NMOS counterpart.

Thus, PMOS input transistor is usually chosen for the preamplifier to achieve the better

noise performance. In order to create the high mid-band gain, two amplifier structure are

usually considered: folded cascode amplifier structure (Figure 2.5) and dual PMOS

cascode amplifier structure (Figure 2.6).

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11

M1

M6

M5

M3

M2

M4

Out

In

Vb3

Vb5

Vb6

Vb2

Vb4

VDD

Id1=Id4-Id6 Id6

Id4

Figure 2.5 Folded cascode amplifier [9]

M1

M6

M5

M3

M2

M4Out

In

Vb3

Vb5

Vb6

Vb2

Vb4

VDD

Id1=Id4+Id6

Id6Id4

Dual PMOS

Figure 2.6 Dual PMOS cascode amplifier [10]

The bias currents of the input transistor M1 and the current source transistors M4 and M6

for the two amplifier structures are given as:

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12

Based on the comparison between Eq.(2.3) and Eq.(2.4), the bias current of the input

transistor (Id1) is bigger in the dual PMOS cascode amplifier structure given that both

amplifier consume the same amount of power. Therefore, the dual PMOS cascode

amplifier structure has the advantage of maximizing the transconductance (gm) of the

input transistor to achieve the higher mid-band gain.

2.2.3 Reset network implementation

In order to meet the low noise performance required for the front-end detection channel,

the feedback resistance (Rf) needs to be set in the Mega or Giga ohm range depending on

the amount of detector leakage current [5]. However, such high resistance is hard to

realize in the CMOS technology. Therefore, most CSA designers have used the MOSFET

transistor (Mf) to create the high value reset resistance [11] (Figure 2.7).

Preamplifier

Cdet

Cf

Qin

VG

To ShaperIpulse

Mf

Vout(CSA)

Figure 2.7 The CSA reset network realized by a resistor-like MOS transistor

The feedback resistance Rf seen between the drain and the source terminal of the MOS

transistor working in the linear region is calculated as [11]:

1 4 6- for folded cascode structured d dI I I (2.3)

1 4 6 for dual PMOS cascode structured d dI I I (2.4)

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13

where μ is the mobility of the charge carriers in MOS transistors, Cox is the oxide

capacitance, (Wf /Lf) is the aspect ratio of the feedback transistor, VGS(f) is the gate-to-

source voltage, and the VT(f) is the threshold voltage. To achieve a high value resistance,

the MOS transistor usually has long channel length and short channel width to minimize

the (W/L) ratio in Eq.(2.5).

2.2.4 Adaptive continuous reset network

The feedback resistance formula shown in Eq.(2.5) depends on the gate-to-source voltage

VGS(f) and threshold voltage (VT(f)). These two voltage terms of the MOS transistors may

differ from chip to chip due to the process variations. In order to compensate the process

variation, the adaptive continuous reset network has been proposed [11]. An example

implementation of the adaptive continuous reset network is shown in Figure 4.9 where

the preamplifier adopts the dual PMOS cascode amplifier structure. The level shifter is

usually implemented at the output of the amplifier in order to restore the DC potential of

the CSA output (Vout(CSA)) to be equal to the CSA input (Vin(CSA)):

The aspect ratio for the transistor Mf0 is the multiple of that for the feedback transistor Mf

by the factor of n. Since the transistor M1R is the exact copy of the input transistor M1

and since they are also biased with the same amount of current, their gate-to-source

voltage should be closely matched and hence, the source voltage of the transistor Mf0 and

that of the transistor Mf are the same:

( ) ( )

1

( / )( )f

ox f f GS f T f

RC W L V V

(2.5)

( ) ( )out CSA in CSAV V (2.6)

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M1

M6

M5

M3

M2

M4

Vb3

Vb5

Vb6

Vb2

Vb4

Id1 Cdet

Qin

Cf

Level

shifter

Mf

Mf0=(Mf)n

M1R=M1

Id1R

= Id1If

Adaptive continuous reset

Vout(CSA)

Vin(CSA)

V1R

Figure 2.8 Adaptive continuous reset implemented with the CSA [11]

From Eq.(2.5) and Eq.(2.6), the gate-to-source voltages of the feedback transistor Mf and

the transistor Mf0 are equal:

Given that the threshold voltage for the feedback transistor Mf and the transistor Mf0 are

closely matched, Eq.(2.8) is rearranged to be equivalent of the overdrive voltage (Vov) for

the transistor Mf0 [11]:

( ) 1in CSA RV V (2.7)

( ) ( 0)GS f GS fV V (2.8)

( ) ( ) ( 0) ( 0)

( 0)

0 0

2 2

( / ) ( / )

GS f T f GS f T f

ov f

f f

ox f f ox f f

V V V V

V

I I

C W L C n W L

(2.9)

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Substituting Eq.(2.9) to Eq.(2.5), a new expression for the feedback resistance (Rf) that is

independent of the gate-to-source voltage VGS(f) and the threshold voltage (VT(f)) for the

feedback transistor Mf is derived [11]:

2.3 Pulse shaper

The pulse shaper takes the output of the CSA and transforms the narrow current pulse

from the detector (Figure 2.3) into a broader pulse with the peaking time equal τp (Figure

2.9), aiming to achieve two advantages [3]:

The broader pulse generated by the pulse shaper improves the signal-to-noise

ratio of the analog front-end processing channel

The broader pulse facilitates the measurement of the pulse amplitude (Vsignal(out))

with a gradually rounded maximum at the peaking time equal τp.

The pulse shaper consists of two stages: 1st stage CR differentiator and 2

nd stage RC

integrator (Figure 2.9). As the voltage pulse corresponding to a radiation event is

generated at the output of the CSA, a Gaussian-like pulse (Vout(Shaper)) carrying the timing

and energy information is formed at the shaper output. More than one RC integrator is

adopted if the more symmetrical pulse is desired for certain applications [3].

( ) ( )

1

( / )( )

2 ( / )

f

ox f f GS f T f

f ox f f

RC W L V V

n

I C W L

(2.10)

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1st

Stage:

CR-Differentiator

2nd

Stage:

RC-Integrator (n integrators)

Vout(CSA) Vout(Shaper)

Cd

Rd Ci

Ri Ri

Ci Ci

Ri

1st 2ndnth

= Qin/Cf

Vout(CSA)

Time

Vout(Shaper)

Time

τp

τf

Design condition:

RdCd = RiCi

From the charge

sensitive amplifier

n

insignal(out) n

f

Q nV =

C n!e

Figure 2.9 The CR-(RC)

n pulse shaper diagram

2.3.1 The peaking time and the pulse amplitude of the pulse shaper

The transfer function of the shaper is given as [12]:

where n is the number of the integrators that corresponds to the order of the shaper and τ

is the time constant of the differentiator and integrator given as:

The peaking time of the pulse (Figure 2.9), τp, is related to the time constant:

The amplitude of the shaper output pulse (Vsignal(out)) is given as [13]:

( )

( )

( ) 1( )

( ) 1 1

n

out Shaper

out CSA

V s sH s

V s s s

(2.11)

d d i iR C RC (2.12)

p n nRC (2.13)

( )!

n

insignal out n

f

Q nV

C n e (2.14)

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17

Increasing the order of the shaper will result in a more symmetrical output pulse but with

larger peaking time (τp). For a high counting rate radiation detector system where the

interval between the times of arrival for the two continuous input current pulses (Ipulse)

can be short, the peaking time (τp) must be limited to avoid overlapping the pulses.

Therefore, a fast shaper (peaking time (τp) < 100ns) is usually adopted for the high rate

application. The important design requirements of the pulse shaper include:

Low power consumption compared to the CSA

Low noise performance

Smaller layout area

2.3.2 Pole-zero cancellation

As shown in Eq.(2.1), the reset network that is used for discharging the CSA output

generates an extra pole, equivalent of the product of the feedback capacitor (Cf) and

feedback resistor (Rf). This extra pole from the reset network causes a shift on the

baseline of the shaper output pulse that may lead to the loss of resolution [14] (Figure

2.10).

Vout(Shaper)

Time

Shift in baseline

Loss in resolution

Figure 2.10 The shift of the baseline for the shaper output pulses due to the extra pole of the reset network

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In order to stabilize the baseline for the shaper pulse, the pole-zero cancellation circuitry

is implemented within the pulse shaper [14] (Figure 2.11). The idea of the pole-zero

cancellation is to implement an extra zero in the CR-Differentiator stage by adding a

resistor (Rpz) in parallel with the capacitor (Cd) such that it will nullify the reset network

pole [14]:

1st

Stage:

CR-Differentiator

2nd

Stage:

RC-Integrator (n integrators)

Vout(Shaper)

Cd

RdCi

Ri

1st 2ndnth

Preamplifier

Cdet

Cf

Qin

Rpz

Reset (Rf) Pole-zero

cancellation

Ri Ri

Ci Ci

Extra pole

Vout(CSA)Ipulse

Vout(Shaper)

Time

Ipulse

Time

Figure 2.11 The pole-zero cancellation circuitry implemented within the pulse shaper [15]

In order to fulfill Eq.(2.14), the pole-zero cancellation resistor Rpz can be implemented by

the transistor Mpz (Figure 2.12) such that its aspect ratio and the value of the capacitor

(Cd) are related to the aspect ratio of the feedback transistor (Mf) and the value of the

feedback capacitor (Cf) by [5] :

pz f

W WN

L L

(2.16)

f f pz dR C R C (2.15)

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d fC N C (2.17)

where N is an integer with its value greater than one.

1st

Stage:

CR-Differentiator

2nd

Stage:

RC-Integrator (n integrators)

Vout(Shaper)

Cd

= NxCf RdCi

Ri

1st 2ndnth

Preamplifier

Cdet

Cf

Qin

Pole-zero

cancellation

Ri Ri

Ci Ci

Vout(CSA)Ipulse

Mf

Mpz=

NxMf

Adaptive continuous reset

Figure 2.12 The pole-zero cancellation implemented by the transistor Mpz [8]

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20

Chapter 3 Noise optimization of the charge sensitive

amplifier

Low-noise behavior is necessary for the analog front-end signal processing channel, in

order for the radiation detector to achieve high resolution detectability, and hence

minimizing the dosage of the radioactive exposure to the patients. The noise sources in

the analog front-end signal processing channel include the transistors of the preamplifier

, the detector leakage current

, the reset network , and the

resistors in the shaper ( ) (Figure 3.1).

Figure 3.1 The primary noise contributors of the analog frolnt-end signal processing channel

In order to minimize the total noise of the analog front-end signal processing channel,

these mentioned major noise contributors have to be optimized. However, the noise

contribution from the detector leakage current and the shaper resistor

( ) are fixed by the type of the detector used and the required peaking time (τp)

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21

of the target application. Therefore, more works are focused on optimizing the other two

major noise sources: the transistors in the preamplifier and the reset

network . The existing input transistor optimization methodology for the

charge sensitive amplifier will be discussed. In addition, our proposed current source

transistor optimization methodology that compliments the input transistor optimization

methodology will be presented.

3.1 Noise measurement scheme - ENC

The noise of the front-end signal processing channel is usually expressed in the form of

Equivalent Noise Charge (ENC). Equivalent noise charge is defined as the input noise

charge of the front-end signal processing channel [3].

The noise simulation in HSPICE is able to find the r.m.s noise voltage at the shaper

output (Vnoise(rms)) (Figure 3.2). In order to calculate the ENC using HSPICE simulation,

Eq.(3.1) needs to be rearranged to include the r.m.s noise voltage (Vnoise(rms)). The

rearrangement is done by first considering the S/N ratio of the analog front-end signal

processing channel:

( )

( )

signal out in in

noise rms noise

VS Q Q

N V Q ENC (3.2)

where Vsignal(out) is the peak signal amplitude at the shaper output and Qin is the input

signal charge (Figure 3.2).

noiseENC Q (3.1)

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22

Figure 3.2 The ENC for the analog front-end signal processing channel

Rearranging Eq.(3.1) with Eq.(3.2), the ENC measurement scheme for the analog front-

end signal processing channel can be derived as follows [16].

For example, for an input charge signal Qin = 10.2fC, Vsignal(out) = 36mV, and Vnoise(rms) =

33μV, ENC is equal to:

3.2 Input transistor optimization methodology for the CSA

with fast shaper

The goal of input transistor optimization methodology is to find the optimum geometry of

the input MOSFET for the preamplifier (Figure 3.3) which results in the lowest noise

contribution for the analog front-end signal processing channel. This methodology is

( )

( )

[electrons]noise rms in

noise

signal out

V QENC Q

V q (3.3)

19

33μV 10.2fC58 [r.m.s electrons]

33mV 1.6 10 CENC

(3.4)

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23

based on the assumption that the input MOSFET noise is the most dominant noise source

in the preamplifier of the CSA.

Preamplifier

Cf

Qin

Pulse Shaper

H(s), τ

M1

M6

M5

M3

M2

M4

Vb3

Vb5

Vb6

Vb2

Vb4

Input

TransistorIn

Out

CdetIpulse

Reset(Rf)

Id(in)

Figure 3.3 The input transistor of the preamplifier that adopts dual PMOS cascode amplifier structure [10]

The noise components within the input MOSFET are thermal noise and flicker (also

called 1/f) noise and their respective ENC contributions for the analog front-end signal

processing channel is represented by [5]:

2

det2

( ) 2

( ) 4Thermal noise :

f g

in th w

m p

C C C kTENC a n

q g

(3.5)

2

det2

(1/ ) 12

( ) (2 )Flicker noise :

f

f

f g f

in f f

ox p

C C C KENC a

q C WL

(3.6)

where:

- n is the sub-threshold slope coefficient of the MOSFET with a typical value of 1.25

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- γ is a dimensionless coefficient of the MOSFET that is equal to (1/2) in weak

inversion and (2/3) in strong inversion

- αf is the flicker noise slope coefficient of the MOSFET which is larger than 1 for

PMOS and smaller than 1 for NMOS

- k is the Boltzmann constant

- T is the absolute temperature

- Cox is gate oxide capacitance per unit area

- Kf is the technology dependent flicker noise coefficient of the MOSFET

- gm is the transconductance of the MOSFET transistor

- ɑw and ɑf, are the shaping coefficients for the thermal noise and flicker noise

respectively. Their values corresponding to the shaper order are presented in Table

3.1.

Table 3.1 Shaping coefficient for the semi-Gaussian shapers of different order [5]

Shaper order ɑw ɑf

1 0.92 0.59

2 0.82 0.54

3 0.85 0.53

4 0.89 0.52

5 0.92 0.52

6 0.94 0.51

The gate capacitance of input MOSFET (Cg) is approximated by Eq.(3.7) [17]:

2

23

g ov oxC C W C WL (3.7)

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where Cov is overlap capacitance per unit width for drain and source. For a charge

sensitive amplifier followed by a fast shaper (shaping time τp usually smaller than 100ns)

and due to the fact that the input transistor is usually p-MOS, in which the flicker noise

component is much smaller than in an equivalent n-MOS, thermal noise contribution will

dominate over the flicker noise contribution for the input transistor [17]:

Hence, the total noise contribution from input transistor ( can be simplified as

equal to the thermal noise of the input transistor :

The optimum input transistor geometry that corresponds to the minimum input transistor

noise ( ) can be derived by differentiating its thermal noise contribution (

)

with respect to the input transistor channel width (W) [17]:

2

( ) det

min

06 2

in th f

ov ox

ENC C CW

W C C L

(3.10)

Note that the minimal channel length Lmin must be used in Eq.(3.10) also for the purpose

of minimizing the input transistor thermal noise contribution ) in Eq.(3.5) by

maximizing its transconductance (gm) [13]. Once the optimized input transistor geometry

is derived from Eq.(3.10), the corresponding bias current of the input transistor (I(in)) is

determined by defining the value of its overdrive voltage (Vov):

( )2

( / )

in

ov

ox

IV

C W L (3.11)

2 2

( ) (1/ )in th in fENC ENC (3.8)

2 2 2 2

( ) (1/ ) ( )in in th in f in thENC ENC ENC ENC (3.9)

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By rearranging Eq.(3.11), the bias current of the input transistor (I(in)) is related to its

overdrive voltage (Vov) by:

2

( )2

oxin ov

C WI V

L

(3.12)

3.3 Current source transistor noise optimization methodology

for CSA

The input transistor has been usually seen as the most dominant noise source in the

preamplifier of the CSA, and the methodology to optimize its geometry for minimum

noise has been well established [13]. This methodology treats the noise coming from the

current source transistors (Figure 3.4) that bias the CSA input stage as secondary.

However, in a deep submicron CMOS processes that use low supply voltages, the noise

coming from other CSA components, especially from current source transistors, becomes

significant [18], and in extreme cases may dominate CSA noise characteristics. In order

to optimize the current source transistor noise, the noise optimization methodology that

ensures its noise contribution to be a small fraction of the input transistor noise is

proposed.

M1

M6

M5

M3

M2

M4Out

In

Vb3

Vb5

Vb6

Vb2

Vb4

VDD

Current source

transistor Current source

transistor

input

transistor

Figure 3.4 The current source transistors for the preamplifier that adopts dual PMOS cascode amplifier

structure [10]

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The proposed current source MOSFET optimization methodology aims to find the

optimum current source transistor aspect ratios such that their noise contribution becomes

a small fraction of the input transistor MOSFET noise contribution. The ENC

contributions for the thermal and flicker noise of the current source transistor noise are

[9]:

2

det ( )2

( ) 2

( ) ( )

( ) 8

3

f g m cs

cs th w

m in p m in

C C C gkTENC a n

q g g

(3.13)

( )

1 ( )

22

det ( ) ( )2

(1/ ) 2

( ) ( ) ( )

( ) (2 ) f

f

cs

cs

f f g f cs m cs

cs f

ox cs cs m inp

a C C C K gENC

q C W L g

(3.14)

where the subscript (in) corresponds to the parameters for input transistor and the

subscript (cs) corresponds to those for current source transistor. In order to optimize the

current source transistor noise such that its noise contribution is a small fraction of the

input transistor noise, the current source noise scaling factor is defined as the ratio of

the current source transistor noise to the input transistor noise:

2

( )

2

( )

cs th

th

in th

ENC

ENC (3.15)

2

(1/ )

1/ 2

( )

cs f

f

in th

ENC

ENC (3.16)

where the thermal noise of the input transistor ( ) is chosen as the common

denominator for approximating the total input transistor noise ( ) in the case of

short shaper peaking time. is the thermal noise scaling factor and is the flicker

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28

noise scaling factor for the current source transistor. The current source transistor

optimization aims to make a current source noise contribution as small as possible

fraction of the input transistor noise, i.e.

Rearranging Eq.(3.15) and Eq.(3.16) by using Eqs.(3.5), (3.13), and (3.14), and assume

that the input transistor operates in strong inversion, the formulas for the noise-optimized

geometry of the current source transistors have been derived:

( ) ( ) ( ) ( )2

( ) ( ) ( ) ( )

cs in in d in

th

cs cs in d cs

W W I

L L I

(3.18)

( )

( )

( ) ( ) ( ) ( )

( )

1/ ( ) ( ) ( )

31 (2 )

4 2

f CS

f CS

f cs cs d cs inf

cs

f w in ox in d in

K I LaL

a kT C W I

(3.19)

The following steps show how to apply the current source optimization methodology in

the CSA designs:

1. Based on the defined value of the detector capacitance (Cdet) and feedback

capacitance (Cf), apply the input transistor optimization methodology using

Eq.(3.10) to find out the optimal input transistor geometry.

2. Determine the input transistor biasing current (Id(in)) with Eq.(3.12) by defining its

targeted overdrive voltage (Vov).

3. Determine the current source transistor biasing current (Id(cs)) by the requirement

of the open-loop gain for the preamplifier.

4. Choose the target values for and less than 1.

1/1 and 1th f (3.17)

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29

5. Substitute the values for , , and the bias currents into Eq.(3.18) and

Eq.(3.19) to calculate the corresponding noise optimized current source transistor

geometry .

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Chapter 4 Design of charge sensitive amplifier

In this chapter the design procedure of the charge sensitive amplifier (CSA) is presented.

The major components in the charge sensitive amplifier are the preamplifier and the reset

network (Figure 4.1). The targeted low capacitance semiconductor detector (Cdet) has

been 1pF with the feedback capacitance (Cf) equivalent of 100fF. In order to process high

counting rate event, the short peaking time (τp) equal 100ns has been chosen for a first

order CR-RC pulse shaper.

Preamplifier

Cf

QinCR-RC Shaper

τp = 100ns

CSA

Reset (Rf)

CdetIpulse

Vout(CSA) Vout(shaper)

1pF

100fF

Figure 4.1 The targeted value of the detector capacitance (Cdet), the feedback capacitance (Cf), and the

shaper peaking time (τp) for the analog front-end signal processing channel

The analog front-end signal processing channel has been designed using the 3.3V MOS

transistors provided in the IBM CMOS 130nm technology. The minimum channel length

of the 3.3V MOS transistors is 400nm. The technology parameters derived from the

HSPICE simulation are summarized in Table 4.1.

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Table 4.1 MOSFET parameters of 3.3V MOSFET in IBM 130nm CMOS technology

Parameters Specification

Process transconductance parameter of PMOS (Kp=μpCox) 75 μA/V2

Process transconductance parameter of NMOS (Kn=μnCox) 268 μA/V2

Gate capacitance per unit area (Cox) 3.75 fF/μm2

Overlap capacitance (Cov) 0.4 fF/μm

Flicker noise coefficient Kf(NMOS) (L=0.4μm) 1.38×10-24

Flicker noise coefficient Kf(PMOS) (L=0.4μm) 1.3×10-24

Flicker noise slope coefficient αf(NMOS) 0.87

Flicker noise slope coefficient αf(PMOS) 1.15

4.1 Preamplifier design

The preamplifier consists of the core amplifier and the level shifter (Figure 4.2). The core

amplifier adopts the dual PMOS cascode structure for its advantage in higher

transconductance (gm) and lower input transistor flicker noise. The level shifter

implemented by the PMOS source follower configuration is used for restoring the DC

potential at the output of the amplifier and decreasing the output impedance when driving

the next stage[19]. The mid-band gain of the level shifter is approximately equal to unity.

The biasing work has been implemented with an ideal current source (Ibias) to bias six

transistors (M2 to M7) in the preamplifier. The power supply voltage (VDD) for the

analog front-end signal processing channel has been 3.3V.

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M1

M6

M5

M3

M2

M4

Vb3

Vb5

Vb6

Vb2

Vb4

VDD

Id1

Id6Id4

M7

M8

Vb7

VDD

Vout(CSA)

Id8

Core amplifier Level shifter

M9

Ibias

Vb7

VDD

M11

Vb6

VDD

Vb2

M12

M13

VDD

M14

Vb4

M15

VDD

Vb3

M16

M17

VDD

M10

M19

M18

Vb5

Biasing network for the preampifier

Vb3 Vb4 Vb5 Vb6 Vb7Vb2

Preamplifier

Vin(CSA)

Vout(core)

Figure 4.2 The preamplifier structure

4.1.1 Formulas for the mid-band gain and the frequency response of

the preamplifier

By approximating mid-band gain of level shifter equivalent of one, the mid-band gain of

the preamplifier is mostly contributed by the gain of the core amplifier:

1v m outA g R (4.1)

where the output resistance (Rout) is equal:

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33

5 3

5 6 3 4

m mout

ds ds ds ds

g gR

g g g g (4.2)

In order to achieve high mid-band gain of the preamplifier, the transconductance of the

input transistor (gm1) has to be maximized based on Eq.(4.1) and the bias current of its

folded output branch (Id6) has to be made small to result in the high output resistance

(Rout). As far as the frequency response is concerned, there are two poles in the

preamplifier: One is the non-dominant pole (p1) and the other one is the dominant pole

(p2). These two poles are associated with the nodes (A and Vout(core)) of the preamplifier

shown in Figure 4.3.

M1

M6

M5

M3

M2

M4

Vb3

Vb5

Vb6

Vb2

Vb4

VDD

M7

M8

Vb7

VDD

Vout(CSA)C1

C2

Vin(CSA)

Vout(core)

A

Figure 4.3 Major parasitic capacitances associated with poles of the frequency characteristics in the

preamplifier

These two poles are given as [9]:

1 1

11

2p

R C

(4.3)

2

12

2 out

pR C

(4.4)

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34

where:

1

4

1

m

Rg

(4.5)

1 2 3 4 2 3 4gd gs gd bd bd bdC C C C C C C (4.6)

2 3 5 8 8 3 5gd gd gs gd bd bdC C C C C C C (4.7)

In order to prevent the non-dominant pole (p1) from affecting the circuit performance, the

areas of M2, M3, and M4 transistors have to be kept small in order to minimize their

contributions to the capacitance C1. The gain-bandwidth product (GBW) is given as:

12

22

mv

gGBW A p

C (4.8)

4.1.2 The geometries design for the preamplifier transistors

With the detector capacitance and feedback capacitance defined in Figure 4.1, the input

transistor noise optimization methodology from Eq.(3.10) has been applied to calculate

the optimal input transistor M1 aspect ratio for the minimum channel length of 0.4μm:

The overdrive voltage (Vov) for the input transistor in the preamplifier is defined for the

corresponding output voltage swing of the core amplifier within 0.5 to 2.8V (Figure 4.4).

1

200μm

0.4μm

W

L

(4.9)

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M1

M6

M5

M3

M2

M4

Vb3

Vb5

Vb6

Vb2

Vb4

VDD

Vout(core)

Vov1=0.2VOutput range =

0.5V ~ 2.8VId1

(800μA)

Id4

(720μA)

Id4

(80μA)

Vov2+ Vov3 =

0.3V

Vov5+Vov6

=0.5V

Vin(CSA)

Figure 4.4 The targeted value of the biasing current and the overdrive voltages for the core amplifier

From Eq.(3.12), the bias current for the input transistor M1 (Id1) is approximately 800μA

corresponding to its overdrive voltage (Vov1) of 0.2V. In order to achieve the high mid-

band gain for the core amplifier, the bias current of its output branch (Id6) has to be made

small to result in the high output resistance (Rout). The bias current (Id6) of 80μA has been

chosen for the output branch (Figure 4.4). The current source transistor noise

optimization methodology has been applied to find the optimal geometry of the current

source transistors M4 and M6. The details of this optimization process are shown in the

Appendix A. The targeted current source thermal noise scaling factor ( has been

chosen as 10% and the current source flicker noise scaling factor ( as 10%. The

noise optimized geometries of the current source transistors M4 and M6 have been

calculated from Eq.(3.18) and Eq.(3.19) and are presented in Table 4.2.

Table 4.2 Calculated optimum aspect ratios and channel length for current source transistors M4 and M6

Noise scaling factor M4

(μm/μm)

M6

(μm/μm)

(W/L) L (W/L) L

10% 10% 1.8 6.0 16.3 2.0

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36

The rest of the transistors in the core amplifier (transistors M2, M3, and M5) have been

designed based on the output swing range and their biasing currents specified in Figure

4.4. The biasing network for the preamplifier uses ideal current source of 200μA that in a

final version may be tunable to achieve a uniform performance between individual chips.

The level shifter has been implemented with the help of the HSPICE simulator in order to

restore the output DC potential of the core amplifier (Vout(core) = 2V from simulation) to

the input DC potential (Vin(CSA) = 2.75V from simulation). The preamplifier structure with

all the transistors’ aspect ratio and their biasing currents is shown in Figure 4.5.

M1

M6

M5

M3

M2

M4

Vb3

Vb5

Vb6

Vb2

Vb4

VDD

M7

M8

Vb7

VDD

5/0.4

n=50

5/0.4

n=50

5.5/6

n=26/0.4

n=1

5/0.4

n=8

6.8/2

n=5

3.5/0.4

n=1

6.8/0.4

n=5

M9

200μA

Vb7

VDD

M11

Vb6

VDD

Vb2

M12

M13

VDD

M14

M15

VDD

Vb3

M16

M17

VDD

M10

M19

M18

Vb5

5/1

n=9

5/4

n=4

5/4

n=4

5/2

n=12

7.7/1

n=1

5/2

n=12

5/2

n=175/2

n=17

4.87/1

n=10

4/2

n=8

5/2

n=17

Biasing network for preamplifier

Preamplifier

Vb3 Vb4 Vb5 Vb6 Vb7Vb2

800μA

100μA

207μA 211μA 202μA

331μA

Vout(CSA)

720μA 80μA

Vb4

Vin(CSA)

Figure 4.5 The preamplifier structure with transistors’ aspect ratios

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37

4.1.3 AC simulation of the preamplifier (open-loop)

The AC simulation has been done in HSPICE within the frequency range from 1Hz to

10GHz. The open-loop simulations for the gain magnitude and phase are presented in

Figure 4.6 and Figure 4.7. The preamplifier’s mid-band gain has been 78dB, and its gain-

bandwidth product (GBW) has been 1.72GHz.

Figure 4.6 The gain magnitude of the preamplifier

Figure 4.7 The phase of the preamplifier

0

10

20

30

40

50

60

70

80

90

1E+0 1E+1 1E+2 1E+3 1E+4 1E+5 1E+6 1E+7 1E+8 1E+9 1E+10

Ga

in (

dB

)

Frequency (Hz)

0

20

40

60

80

100

120

140

160

180

200

1E+0 1E+1 1E+2 1E+3 1E+4 1E+5 1E+6 1E+7 1E+8 1E+9 1E+10

Ph

ase

(d

eg)

Frequency (Hz)

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4.2 The reset network and the feedback capacitor design

For the purpose of meeting the low noise performance, the resistance value of the reset

network (Rf) needs to be set in the Mega or Giga ohm range [5]. Such a big resistance

value is hard to realize in the submicron CMOS technology. Thus, this high feedback

resistance is usually achieved by the MOSFET transistors that behave as the resistors

(Figure 4.9). Additionally, the adaptive continuous reset system (Figure 4.9) is

implemented to compensate the process variations [11]. The geometry of the feedback

transistor Mf has been: (W/L)f = 0.5μm/50μm. The transistor M1R is the copy of the input

transistor M1 and is biased by the same amount of current. In order to create the high

feedback resistance, the aspect ratio for the transistor Mf0 has been designed to be 420

times of that for the feedback transistor Mf:

The ideal current source (If) that biases the transistor Mf0 is 1μA and the feedback

resistance Rf has been approximated by Eq.(2.12):

2

2 ( / )

42016MΩ

2 1μA 75 μA/V (0.5μm / 5μm)

f

f ox f f

nR

I C W L

(4.11)

The feedback capacitor (Cf) has been designed using a PMOS transistor by which the

source, the drain, and the body terminals are connected together (Figure 4.8).

0

210μm420

50μmf f

W W

L L

(4.10)

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39

Figure 4.8 The transistor level implementation for the capacitor

The geometry of the transistor that behaves like capacitor has been designed (Figure 4.9)

to generate the feedback capacitance (Cf) of 100fF approximated by Eq.(3.7):

22

3

22 0.4(fF/μm) 18μm 3.75(fF/μm)(18μm)(2μm)

3

100fF

f ov oxC C W C WL

(4.12)

Cdet

(1pF)

Qin

To shaper

Mf

Mf0

M1R

Id1R

(801μA)If

(1μA)

Adaptive continuous reset

0.5/50

3/50

n=70

5/0.4

n=50

M9

200μA

Vb7

VDD

M11

Vb6

VDD

Vb2

M12

M13

VDD

M14

Vb4

M15

VDD

Vb3

M16

M17

VDD

M10

M19

M18

Vb5

5/1

n=9

5/4

n=4

5/4

n=4

5/2

n=12

7.7/1

n=1

5/2

n=12

5/2

n=175/2

n=17

4.87/1

n=10

4/2

n=8

5/2

n=17

Biasing network

Vb3 Vb4 Vb5 Vb6 Vb7Vb2

VDD

M1

M6

M5

M3

M2

M4

Vb3

Vb5

Vb6

Vb2

Vb4

VDD

M7

M8

Vb7

VDD

Vout(CSA)

5/0.4

n=40

5/0.4

n=40

5.5/6

n=26/0.4

n=1

5/0.4

n=8

6.8/2

n=5

3.5/0.4

n=1

6.8/0.4

n=5

Preamplifier

Cf (100fF)

I1

(800μA)

6/2

n=3

Figure 4.9 Adaptive continuous reset implemented with the reset network of the CSA

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Chapter 5 Pulse shaper design

In the high-counting rate application in the range of hundreds of KHz, the time of arrival

between the two adjacent radiation events can be short. In order to minimize the

possibility of pulse overlapping at the shaper output, a fast shaper (with short peaking

time) is required. In this thesis, a simple first order CR-RC pulse shaper structure with

peaking time (τp) equal 100ns has been designed (Figure 5.1). It has been integrated with

the pole-zero cancellation circuitry to stabilize the baseline.

Ri

Ci

Cd

Rpz

Shaper

amplifier

Vout(Shaper)

Vout(CSA)

Ri-A

Ci

Pole-zero

cancellation

Preamplifier

Cdet

Cf

Qin

Reset (Rf)

Ipulse

1st

order CR-RC pulse shaper

Figure 5.1 The 1st order CR-RC pulse shaper design implemented with the analog front-end signal

processing channel

5.1 The output response of the pulse shaper

The transfer function of the 1st order CR-RC pulse shaper (Figure 5.1) is given as:

( )

2

( )

( ) 1

( ) (1 )

out Shaper pz d i

out CSA pz i i

V s sR C R

V s R sR C

(5.1)

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The CSA output response (Vout(CSA)(s)) given in Eq.(2.1) is substituted into Eq.(5.1) to

derive the shaper output response:

In order to eliminate the extra pole generated by the reset network, the pole-zero

cancellation circuitry composed of the resistor (Rpz) and the capacitor (Cd) is

characterized as [14]:

The equation Eq.(5.1) is used to simplify Eq.(5.2) by canceling the pole of the reset

network:

The first term in Eq.(5.2) is the CSA output step response to an input charge of Qin. The

second term is the typical transfer function of the 1st order CR-RC pulse shaper:

( ) ( )2

2

1( ) ( )

(1 )

1

(1 ) 1

pz d iout shaper out CSA

pz i i

pz d fiin

pz i i f f

sR C RV s V s

R sR C

sR C RRQ

R sR C sR C

(5.2)

pz d f fR C R C (5.3)

( ) 2

2

2

( )(1 )

(1 )

(1 )

f iout Shaper in

pz i i

d iin

f i i

in i d

f i i

R RV s Q

R sR C

C RQ

C sR C

Q sR C

sC sR C

(5.4)

21 order shaper

( )(1 )

st

p

p

sH s

s

(5.5)

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where the peaking time τp is equivalent of:

Based on Eq.(5.6), the values of the capacitors (Ci and Cd) and resistors (Ri) for the pulse

shaper have been specified to generate the peaking time (τp) equivalent of 100ns (Table

5.1).

Table 5.1 The values of the resistors and capacitors for the shaper peaking time (τp) equivalent of 100ns

Parameters Value

Ri 50kΩ

Ci 2pF

Cd 2pF

5.2 Passive component design for the pulse shaper

The transistor level implementation for the shaper capacitors Cd and Ci (Table 5.1) is

similar with the design for the feedback capacitor (Cf) in the CSA. They are designed by

using the PMOS transistor such that its drain, body, and source terminals are shorted

together (Figure 4.8). In order to create the 2pF capacitor, Eq.(3.7) is used to approximate

the corresponding transistor geometry: (W/L) = (350 μm/2 μm) such that

The calculated geometries for the capacitor Cd and Ci from Eq.(5.7) are tested in HSPICE

for adjustment. Their geometries after the adjustment are shown in Figure 5.2 for

p i i i dRC RC (5.6)

22

3

22 0.4(fF/μm) 350μm 3.75(fF/μm)(350μm)(2μm)

3

2pF

d i ov oxC C C W C WL

(5.7)

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capacitors marked as Cd, Ci and Ci2. Since the value for the capacitor (Cd) is specified to

be 20 times of the value for the feedback capacitor (Cf), the aspect ratio for the transistor

(Mpz) needs to be 20 times of that for the feedback transistor (Mf), for properly canceling

the pole of the reset network (Eq.(2.18) and Eq.(2.19)):

Ri

(50KΩ)

Ci

Shaper

amplifier

Vout(Shaper)

Vout(CSA)

-A

Pole-zero

cancellation

PreamplifierCdet

(1pF)

6/2

n=3Qin

Ipulse

Mf

Mpz

Adaptive continuous reset

Ri2

(50KΩ)

Cd

0.5/50

2.5/50

n=4

Cf

6/2

n=80

5/2

n=70

Ci2

5/2

n=35

Figure 5.2 The 1st order CR-RC pulse shaper design using transistor implementation for passive

components

The resistor (Ri) that defines the shaping time of the pulse shaper adopts the structure

shown in Figure 5.3. The parallel transistors M42 and M43 are operating in the linear

region in order to model the resistor behavior. As discussed in [20], this structure has the

advantage in more stable resistance by minimizing the second order effects of the drain-

to-source current. Transistors M39, M41, and M44 with the same aspect ratios form the

current mirror network that will bias transistor M38 and M40 with an ideal current source

(IRi). Transistor M38 and M40 with the same aspect ratio generate the same gate-to-

source voltage VC:

20

0.5μm 10μm20

50μm 50μm

pz f

W W

L L

(5.8)

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where VT38 and VT40 are the threshold voltage of the transistor M38 and M40 respectively.

The parallel transistors M42 and M43 having the same aspect ratios generates the resistor

value Ri give as [20]:

42 42 42

1

2 ( / )( )i

ox C T

RC W L V V

(5.10)

An ideal current source (IRi) of 70μA has been used to design the transistors’ geometries

shown in Figure 5.3 for generating the desired resistance value (Ri) of 50kΩ (Table 5.1).

VDD

M44

IRi

(70μA)

2/0.4

n=1

Shaper resistor

biasing network

M41

M40

VDDVDD

M39

M38

M42

M43

+ +

- -

VC VC

2/0.4

n=1

1/2

1/2

2/0.4

n=1

2/0.4

n=1

2/0.4

n=1

Shaper resistor Ri

78μA 78μA

Figure 5.3 The shaper resistor Ri implementation

38

38

38

40 40

40

2

( / )

2

( / )

C GS

RiT

ox

RiT GS

ox

V V

IV

C W L

IV V

C W L

(5.9)

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45

5.3 Shaper amplifier design

The amplifier’s structure for the pulse shaper adopts the same structure of the

preamplifier in the CSA (Figure 5.4). The designed shaper amplifier is the scaled down

version of the preamplifier in the CSA in terms of the transistors’ geometries and the

power consumption. The level shifter has been also implemented at the output of the

shaper amplifier to restore its DC potential. The total current drawn for the shaper

amplifier has been scaled down to approximately one quarter of that for the preamplifier

(Figure 5.4). Therefore, the transistors’ sizes in the shaper amplifier have also been scaled

down to approximately one quarter of the transistors’ sizes in the preamplifier in order to

preserve the same output swing range within 0.5V to 2.8V (Figure 4.4 ). The aspect ratios

and the biasing currents for each transistor in the shaper amplifier are shown in Figure 5.4.

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46

M20

M25

M24

M23

M21

M22

Vb23

Vb24

Vb25

Vb21

Vb22

VDD

M26

M27

Vb26

VDD

5/0.4

n=10

5/0.4

n=10

5/3

n=32/0.4

n=1

5/0.4

n=4

5/2

n=2

2.4/0.4

n=1

4.5/0.4

n=5

M28

50μA

Vb26

VDD

M30

Vb25

VDD

Vb21

M31

M32

VDD

M33

Vb22

M34

VDD

Vb23

M35

M36

VDD

M29

M37

Vb24

5.02/1

n=20

5.2/2

n=5

5/2

n=5

5.4/2

n=1

5/2

n=5

5/2

n=55/2

n=5

5.6/2

n=5

8/1

n=2

5/2

n=5

Biasing network for shaper

Shaper amplifier

Vb22 Vb23 Vb24 Vb25 Vb26Vb21

53μA 53μA 50μA 46μA

200μA

50μA

In

Vout(Shaper)

180μA

20μA

Figure 5.4 The shaper amplifier design

The AC simulation of the shaper amplifier in open-loop configuration is processed using

HSPICE simulator in frequency range within 1Hz to 10GHz. The gain magnitude and the

phase of the shaper amplifier are presented (Figure 5.5 and Figure 5.6).

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47

Figure 5.5 The gain magnitude of the shaper amplifier

Figure 5.6 The phase of the shaper amplifier

Measured from the AC simulation results, the mid-band gain (Av) of the shaper amplifier

has been 64dB and the gain-bandwidth product (GBW) has been 1.85GHz.

0

10

20

30

40

50

60

70

1E+0 1E+1 1E+2 1E+3 1E+4 1E+5 1E+6 1E+7 1E+8 1E+9 1E+10

Gain

(d

B)

Frequency (Hz)

-200

-150

-100

-50

0

50

100

150

200

1E+0 1E+1 1E+2 1E+3 1E+4 1E+5 1E+6 1E+7 1E+8 1E+9 1E+10

Ph

ase

(d

eg)

Frequency (Hz)

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48

Chapter 6 The simulation of the analog front-end

signal processing channel

In this chapter, all the designed components including the charge sensitive amplifier and

the pulse shaper will be integrated together to form the analog front-end signal processing

channel (Figure 6.1). The integrated processing channel is simulated in HSPICE with the

detector capacitance (Cdet) equal 1pF and with no detector leakage current noise ( .

The power characteristic for one single analog front-end signal processing channel has

been analyzed by assuming that a 16-channel radiation detector (Figure 1.3) is to be

integrated.

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49

M1

M6

M5

M3

M2

M4

Vb3

Vb5

Vb6

Vb2

Vb4

VDD

M7

M8

Vb7

VDD

Vout(CSA)

5/0.4

n=50

5/0.4

n=50

5.5/6

n=2

6/0.4

n=1

5/0.4

n=8

6.8/2

n=5

3.5/0.4

n=1

6.8/0.4

n=5

M9

200μA

Vb7

VDD

M11

Vb6

VDD

Vb2

M12

M13

VDD

M14

M15

VDD

Vb3

M16

M17

VDD

M10

M19

M18

Vb5

5/1

n=9

5/4

n=4

5/4

n=4

5/2

n=12

7.7/1

n=1

5/2

n=12

5/2

n=17

5/2

n=17

4.87/1

n=10

4/2

n=8

5/2

n=17

Biasing network for preamplifier

Preamplifier

Vb3 Vb4 Vb5 Vb6 Vb7Vb2

Cdet

(1pF)

Qin

Ipulse

Cf

(100fF)

Mf

0.5/50

Pole-zero

cancellation

Mpz

Cd

(2pF)

2.5/50

n=4

M20

M25

M24

M23

M21

M22

Vb23

Vb24

Vb25

Vb21

Vb22

VDD

M26

M27

Vb26

VDD

5/0.4

n=10

5/0.4

n=10

5/3

n=3

2/0.4

n=1

5/0.4

n=4

5/2

n=2

2.4/0.4

n=1

4.5/0.4

n=5

M28

50μA

Vb26

VDD

M30

Vb25

VDD

Vb21

M31

M32

VDD

M33

Vb22

M34

VDD

Vb23

M35

M36

VDD

M29

M37

Vb24

5.02/1

n=20

5.2/2

n=5

5/2

n=5

5.4/2

n=1

5/2

n=5

5/2

n=55/2

n=5

5.6/2

n=58/1

n=2

5/2

n=5

Biasing network for shaper

Shaper amplifier

Vb22 Vb23 Vb24 Vb25 Vb26Vb21

Ci

(2pF)

Mf0

M1R

Id1R

(801μA)

If (1μA)

Adaptive continuous reset

5/0.4

n=50

VDD

Vout(Shaper)

6/2

n=3

6/2

n=80

M41

M40

VDDVDD

M39

M38

M42

M43

+ +

- -

VC VC

2/0.4

n=1

1/2

1/2

2/0.4

n=1

2/0.4

n=12/0.4

n=1

Shaper resistor Ri (50kΩ)

M48

M47

VDDVDD

M46

M45

M49

M50

+ +

- -

VC VC

2/0.4

n=1

1/2

1/2

2/0.4

n=1

2/0.4

n=12/0.4

n=1

VDD

M44

IRi

(70μA)

2/0.4

n=1

Shaper resistor biasing

network

5/2

n=70

Ci2

(2pF)

5/2

n=35

3/50

n=70

800μA

100μA

207μA 211μA 202μA

331μA

53μA 53μA 50μA 46μA

200μA

50μA

78μA 78μA

78μA 78μA

Shaper resistor Ri2 (50kΩ)

Figure 6.1 The analog front-end signal processing channel integration

6.1 The power characteristics

The current drawn for each transistor in the analog front-end processing channel have

been simulated and presented in Figure 6.1. Note that for the components including the

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50

biasing circuit for the preamplifier, the biasing circuit for the shaper amplifier, adaptive

continuous reset, and the biasing circuit for the shaper resistor will be shared among the

total 16 channels of the analog front-end circuits (Figure 6.2).

Channel 1

Channel 2

Channel 3

Channel 4

Channel 5

Channel 6

Channel 7

Channel 8

Channel 9

Channel 10

Channel 11

Channel 12

Channel 13

Channel 14

Channel 15

Channel 16

Analog front-end signal processing channel

Mf0

M1R

Id1R

(801μA)

If (1μA)

Adaptive continuous reset

5/0.4

n=50

VDDVDD

M44

IRi

(70μA)

2/0.4

n=1

Shaper resistor

biasing network

Vb2 ~ Vb7

Vb21 ~ Vb26

3/50

n=70

M9

200μA

Vb7

VDD

M11

Vb6

VDD

Vb2

M12

M13

VDD

M14

M15

VDD

Vb3

M16

M17

VDD

M10

M19

M18

Vb5

5/1

n=9

5/4

n=4

5/4

n=4

5/2

n=12

7.7/1

n=1

5/2

n=12

5/2

n=17

5/2

n=17

4.87/1

n=10

4/2

n=8

5/2

n=17

Biasing network for preamplifier

207μA 211μA 202μA

331μA

M28

50μA

Vb26

VDD

M30

Vb25

VDD

Vb21

M31

M32

VDD

M33

Vb22

M34

VDD

Vb23

M35

M36

VDD

M29

M37

Vb24

5.02/1

n=20

5.2/2

n=5

5/2

n=5

5.4/2

n=1

5/2

n=5

5/2

n=55/2

n=5

5.6/2

n=58/1

n=2

5/2

n=5

Biasing network for shaper

53μA 53μA 50μA 46μA

Figure 6.2 The sharing of the biasing circuits among 16 processing channels

In order to derive the overall power consumption per one single processing channel, the

power consumptions for the mentioned four circuitries (Figure 6.2) are approximated by

dividing their power consumptions with the number of channels. The power consumption

for each component in a 16-channel radiation detector is summarized in Table 6.1. The

overall power consumption per single processing channel is equal 5.76mW.

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51

Table 6.1 Power consumption summary for single analog front-end signal processing channel

Component Details Current (μA) Power (mW) % Total power

CSA

Preamplifier 900 2.97 51.5 %

Biasing circuit 71 0.23 3.9 %

Adaptive

continuous reset

50 0.17 2.9 %

Shaper

Shaper amplifier 250 0.83 14.4 %

Biasing circuit 16 0.52 9 %

Shaper resistor 316 1.04 18.0 %

Total analog front-end 1724 5.76

6.2 Transient simulation

The HSPICE transient simulation analyzes the timing performance for the designed

analog front-end signal processing channel. The high counting rate simulation performed

by rapid succession of the input current pulses (Ipulse) tests the shaper output response of

the designed signal processing channel.

6.2.1 The charge-to-voltage conversion rate of the analog front-end

signal processing channel

The transient analysis has been used to simulate the output response for the CSA and the

shaper from 0 to 3μs. Corresponding to a radiation event taking place 1μs with an input

charge of 10fC (Figure 6.3), the CSA and shaper output responses are presented in Figure

6.4 and Figure 6.5.

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52

Figure 6.3 The input current pulse for a radiation event with input charge Qin =10fC

Figure 6.4 The CSA output response for Qin = 10fC

0

0.2

0.4

0.6

0.8

1

1.2

0 0.5 1 1.5 2 2.5 3

I pu

lse (μ

A)

Time (μs)

Pulse width = 10ns

2.74

2.76

2.78

2.8

2.82

2.84

2.86

2.88

0 0.5 1 1.5 2 2.5 3

Vou

t(C

SA

) (V

)

Time (μs)

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53

Figure 6.5 The shaper output response for Qin = 10fC

The amplitude of the shaper output waveform, which is equal to the difference between

the baseline and the peak of the waveform, is measured using Figure 6.5. The amplitude

measured is equal to 30mV for input charge of 10fC. Hence, the charge-to-voltage

conversion of the analog signal processing channel is equal:

The peak of the shaper output waveform takes place at 103ns after the radiation event,

which is close to the targeted shaper peaking time (τp) of 100ns. The shaper output

responses (Vout(Shaper)) corresponding to input charges (Qin) ranging from 1fC to 100fC are

simulated (Figure 6.6).

2.715

2.72

2.725

2.73

2.735

2.74

2.745

2.75

2.755

0 0.5 1 1.5 2 2.5 3

Vo

ut(

Sh

ap

er)

(V

)

Time (μs)

Vsignal(out) = 30mV

τp= 103ns Baseline = 2.75V

( ) 30

3( / )10

signal out

in

V mVmV fC

Q fC (5.11)

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54

Figure 6.6 The shaper output responses vs. the input charge

Based on Figure 6.6, the relationship between the shaper output amplitude (Vsignal(out)) and

the input charge (Qin) is plotted (Figure 6.7).

Figure 6.7 The shaper output amplitude vs. the input charge

2.5

2.55

2.6

2.65

2.7

2.75

2.8

0 0.5 1 1.5 2 2.5 3

Vo

ut(

Sh

ap

er)

(V

)

Time (μs)

Qin=1fC

Qin=5fC

Qin=10fC

Qin=20fC

Qin=30fC

Qin=40fC

Qin=50fC

Qin=60fC

Qin=70fC

Qin=80fC

Qin=90fC

Qin=100fC

0

0.05

0.1

0.15

0.2

0.25

0 20 40 60 80 100

Sh

ap

er

ou

tpu

t am

pli

tud

e (

Vsi

gn

al(

ou

t) )

(V

)

Input Charge (fC)

Linear charge-to-voltage conversion

Slope = 3 mV/fC

Qin

Qin

Qin

Qin

Qin

Qin

Qin

Qin

Qin

Qin

Qin

Qin

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55

The simulation results presented in Figure 6.7 reveal a linear charge-to-voltage

conversion taking place up to 50fC (equivalent of 312500 electrons). This is the

acceptable input charge range which will result in a proper charge-to-voltage conversion

gain of approximately 3mV/fC.

6.2.2 High counting rate simulation

The high counting rate simulation tests the shaper output response in the case for the

rapid succession of the input current pulses (Ipulse) from 100kHz to 1MHz. Three different

rates of the input current pulses (Ipulse) are presented: 100kHz (Figure 6.8), 500kHz

(Figure 6.10), and 1MHz (Figure 6.12). Their corresponding output responses are shown

in Figure 6.9, Figure 6.11, and Figure 6.13 respectively.

Figure 6.8 The input current pulses with frequency of 100kHz

0

0.2

0.4

0.6

0.8

1

1.2

0 5 10 15 20 25 30 35 40 45 50

I pu

lse (μ

A)

Time (μs)

10ns

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56

Figure 6.9 The shaper output response for input pulse frequency of 100kHz

Figure 6.10 The input current pulses with frequency of 500kHz

2.715

2.72

2.725

2.73

2.735

2.74

2.745

2.75

2.755

0 5 10 15 20 25 30 35 40 45 50

Vo

ut(

Sh

ap

er)

(V

)

Time (μs)

0

0.2

0.4

0.6

0.8

1

1.2

0 5 10 15 20 25 30 35 40 45 50

I pu

lse (μ

A)

Time (μs)

No shift in baseline

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57

Figure 6.11 The shaper output response for input pulse frequency of 500kHz

Figure 6.12 The input current pulses with frequency of 1MHz

2.715

2.72

2.725

2.73

2.735

2.74

2.745

2.75

2.755

0 5 10 15 20 25 30 35 40 45 50

Vo

ut(

Sh

ap

er)

(V

)

Time (μs)

0

0.2

0.4

0.6

0.8

1

1.2

0 5 10 15 20 25 30 35 40 45 50

I pu

lse

(μA

)

Time (μs)

Baseline shift = 1mV

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58

Figure 6.13 The shaper output response for input pulse frequency of 1MHz

In the case of the 100kHz input frequency, there is no shift in the baseline at the shaper

output (Figure 6.9). However, 1mV shift of the baseline after 50μs is measured for the

case of 500kHz input frequency (Figure 6.11). For an even higher input frequency equal

1MHz, 2mV shift of the baseline is measured after 50μs (Figure 6.13). Therefore, in

order to minimize the loss of the resolution to 1mV, the input frequency up to 500kHz is

acceptable for our designed analog front-end signal processing channel.

6.3 Noise simulation

The analog front-end processing channel is simulated in the HSPICE for its noise

characteristic. The HSPICE noise simulation calculates the root mean square (r.m.s) noise

voltage at the shaper output (Vnoise(rms)) for the analog front-end processing channel. The

total r.m.s noise voltage of the entire channel has been 78 from the simulation.

Using the ENC formula given in Eq. (3.3) and the charge-to-voltage conversion rate

2.715

2.72

2.725

2.73

2.735

2.74

2.745

2.75

2.755

0 5 10 15 20 25 30 35 40 45 50

Vo

ut(

Sh

ap

er)

(V

)

Time (μs)

Baseline shift = 2mV

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59

given in Figure 6.7, the ENC for the analog front-end signal processing channel is

calculated as:

The HSPICE noise simulation also shows the r.m.s noise voltage at the shaper output

(Vnoise(rms)) for each circuit component in the analog front-end processing channel (Table

6.2). Also calculated by Eq.(3.3), the corresponding ENC contributions from each circuit

component are presented (Table 6.2).

Table 6.2 The noise contribution from each component in the analog front-end signal processing channel

Block Component Vnoise(rms)

( )

ENC

(r.m.s electrons)

CSA preamplifier

Input transistor M1 16.1 34

Current source transistor M4 7.3 15

Current source transistor M6 8 17

CSA’s biasing network 24 50

CSA reset network Feedback transistor Mf 25.7 53

Shaper amplifier

Input transistor M20 11 23

Current source transistor M22 10 20

Current source transistor M24 4.4 9

Shaper’s biasing network 15.9 33

Shaper resistor Resistor Ri, Ri2 59.4 123

Pole-zero cancellation Pole-zero transistor Mpz 7 15

Total 78 163

Table 6.2 shows that the major noise contributors are the CSA input transistor M1, the

biasing network for the CSA, the CSA feedback transistor Mf, and the shaper resistors. For

the secondary noise sources such as the current source transistors M4 and M6, their noise

contributions are both a small fraction of the input transistor noise M1 noise contribution:

( )

( )

19

78(μV 1163 r.m.s electrons

3(mV/fC) 1.6 10 C

/ Hz)

noise rms intotal

signal out

V QENC

V q

(5.12)

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60

Extra noise simulations to investigate the validity of the proposed current source transistor

optimization methodology are presented in Appendix A. In addition, the noise simulation for

the detector capacitance (Cdet) ranging from 1pF to 10pF is presented (Figure 6.14).

Figure 6.14 The ENC for the designed signal processing channel vs. the detector capacitances

0

100

200

300

400

500

600

0 2 4 6 8 10 12

EN

C (

r.m

.s e

lectr

on

s)

Detector capacitance (pF)

Slope ≈ 37 [r.m.s electrons/pF]

ENC ≈ 37∙Cdet + 120 [r.m.s electrons]

2 2

4

2 2

1

1519%

34

M

M

ENC

ENC (5.13)

2 2

6

2 2

1

1725%

34

M

M

ENC

ENC (5.14)

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61

Chapter 7 The layout design

The layout design for the single analog front-end signal processing channel (Figure 6.1)

has been developed using the IBM 130nm CMOS technology by the Cadence Virtuoso

Layout tool. The layout design is presented with the floor plan for the other 15 channels

(Figure 7.1).

Channel 1

Channel 2

Channel 3

Channel 4

Channel 5

Channel 6

Channel 7

Channel 8

Channel 9

Channel 10

Channel 11

Channel 12

Channel 13

Channel 14

Channel 15

Channel 16

Adaptive

continuous

reset

Figure 7.1 The floor plan for 16 analog front-end signal processing channels

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62

The layout for the single signal processing channel without the layout for the adaptive

continuous reset is presented (Figure 7.2).

Preamplifier +

feedback

capacitor (Cf)

Biasing network for

the preamplifier

Reset network (Rf) +

pole-zero cancellation

Shaper resistors(Ri, Ri2)

Shaper

amplifier

Biasing network for

the shaper amlifier

Shaper

capacitors

(Ci, Ci2)

Figure 7.2 The rotated layout for the single signal processing channel without the adaptive continuous reset

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63

7.1 The detailed layout for component

The complete layout design has been divided into 7 sub-blocks (Figure 7.3) for

presenting the layout in greater details.

Vout(CSA)

Vb3 Vb4 Vb5 Vb6 Vb7Vb2

Cdet

(1pF)

Qin

Ipulse

Cf

(100fF)

Mf

0.5/50

Mpz

Cd

(2pF)

2.5/50

n=4

Vb22 Vb23 Vb24 Vb25 Vb26Vb21

Ci

(2pF)

Mf0

M1R

Id1R

(801μA)

If (1μA)

5/0.4

n=50

VDD

Vout(Shaper)

6/2

n=3

6/2

n=80

Shaper resistor (Fig.7.9)

VDD

M44

IRi

(70μA)

2/0.4

n=1

5/2

n=70

Ci2

5/2

n=35

3/50

n=70

Pole-zero

cancellation

+ reset network

+ shaper capacitors

(Figure 7.6)

Preamplifier + feedback capacitor

(Fig.7.4)

Biasing network for preamplifier (Fig.7.5) Biasing network for shaper (Fig.7.8)

Shaper amplifier (Fig.7.7)

Adaptive continuous reset

(Fig.7.10)

M9

200μA

Vb7

VDD

M11

Vb6

VDD

Vb2

M12

M13

VDD

M14

M15

VDD

Vb3

M16

M17

VDD

M10

M19

M18

Vb5

5/1

n=9

5/4

n=4

5/4

n=4

5/2

n=12

7.7/1

n=1

5/2

n=12

5/2

n=17

5/2

n=17

4.87/1

n=10

4/2

n=8

5/2

n=17

M28

50μA

Vb26

VDD

M30

Vb25

VDD

Vb21

M31

M32

VDD

M33

Vb22

M34

VDD

Vb23

M35

M36

VDD

M29

M37

Vb24

5.02/1

n=20

5.2/2

n=5

5/2

n=5

5.4/2

n=1

5/2

n=5

5/2

n=55/2

n=5

5.6/2

n=58/1

n=2

5/2

n=5

M1

M6

M5

M3

M2

M4

Vb3

Vb5

Vb6

Vb2

Vb4

VDD

M7

M8

Vb7

VDD

5/0.4

n=50

5/0.4

n=50

5.5/6

n=2

6/0.4

n=1

5/0.4

n=8

6.8/2

n=5

3.5/0.4

n=1

6.8/0.4

n=5

M41

M40

VDDVDD

M39

M38

M42

M43

+ +

- -

VC VC

2/0.4

n=1

1/2

1/2

2/0.4

n=1

2/0.4

n=12/0.4

n=1

M48

M47

VDDVDD

M46

M45

M49

M50

+ +

- -

VC VC

2/0.4

n=1

1/2

1/2

2/0.4

n=1

2/0.4

n=12/0.4

n=1

M20

M25

M24

M23

M21

M22

Vb23

Vb24

Vb25

Vb21

Vb22

VDD

M26

M27

Vb26

VDD

5/0.4

n=10

5/0.4

n=10

5/3

n=3

2/0.4

n=1

5/0.4

n=4

5/2

n=2

2.4/0.4

n=1

Figure 7.3 The layout division for the analog front-end signal processing channel

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The layouts for each sub-block in Figure 7.3 are presented from Figure 7.4 to Figure 7.10

with the transistor number clearly marked. All the transistors in the design are of the

multi-fingers layout type, with the width of the finger smaller than 7μm.

M1 M2 M3 M8 M7

Cf M4 M6 M5

VDD

gnd

Figure 7.4 The layout for the preamplifier and the feedback capacitor

M10 M14 M9 M12 M16

M19 M18 M15 M11 M13 M17

VDD

gnd

Figure 7.5 The layout for the biasing network of the preamplifier

Mf Mpz

CdCi2

Ci

Figure 7.6 The layout for the reset network, the pole-zero cancellation circuitry, and the shaper capacitors

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M20 M21 M23 M27 M26

M22 M25

M24

VDD

gnd

Figure 7.7 The layout for the shaper amplifier

M37

M29 M33 M28 M31 M35

M34 M30 M32 M36

VDD

gnd

Figure 7.8 The layout module for the biasing network of the shaper amplifier

M45 M47M46 M48

M49

M50

M44

VDD

gnd

M43

M42

M40M41M39M38

Figure 7.9 The layout module for the shaper resistor

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66

Mf0

M1R

Figure 7.10 The layout module for the adaptive reset network

7.2 The post-layout simulation

To proceed with the post-layout simulation, the parasitics of the low noise amplifiers for

the CSA and the shaper are extracted and then simulated.

7.2.1 The post-layout transient simulation

The CSA and the shaper output responses from the post-layout simulation corresponding

to an input charge (Qin) equivalent of 10fC (Figure 7.11) are shown in Figure 7.12 and

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Figure 7.13 respectively. The radiation event takes place at 1μs and the simulation is

presented from 0 to 3μs.

Figure 7.11 Input current pulse for a radiation event with input charge equal 10fC

Figure 7.12 The CSA output response for Qin = 10fC

0

0.2

0.4

0.6

0.8

1

1.2

0 0.5 1 1.5 2 2.5 3

I pu

lse (μ

A)

Time (μs)

Pulse width = 10ns

2.72

2.74

2.76

2.78

2.8

2.82

2.84

2.86

0 0.5 1 1.5 2 2.5 3

Vou

t(C

SA

) (V

)

Time (μs)

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Figure 7.13 The shaper output response for Qin = 10fC

From Figure 7.13 the simulated amplitude of the shaper output response (Vsignal(out)) is

equal 27mV for the input charge (Qin) of 10fC. This corresponds to the charge-to-voltage

conversion rate equal 2.7mV/fC. The increasing shaper peaking time (τp) of 150ns has

been measured. The baseline of the shaper output pulse has changed from 2.75V for the

pre-layout simulation to 2.732 for the post-layout simulation. The difference of the

baseline and the shaper peaking could result from the parasitic extracted from the layout.

The shaper output responses for input charge ranging from 1fC to 100fC are shown in

Figure 7.14.

2.7

2.705

2.71

2.715

2.72

2.725

2.73

2.735

0 0.5 1 1.5 2 2.5 3

Vo

ut(

Sh

ap

er)

(V

)

Time (μs)

Vsignal(out)= 27mV

τp= 150ns Baseline = 2.732V

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Figure 7.14 The shaper output response vs. the input charge

Based on the shaper output waveforms shown in Figure 7.14, the relationship between

the shaper output amplitude (Vsignal(out)) and the input charge (Qin) is plotted (Figure 7.15).

The linear charge-to-voltage conversion takes place up to 50fC, which matches the pre-

layout simulation result. The charge-to-voltage conversion gain has been 2.7mV/fC,

approximately 10% smaller than for the pre-layout circuit.

2.45

2.5

2.55

2.6

2.65

2.7

2.75

0 0.5 1 1.5 2 2.5 3

Vo

ut(

Sh

ap

er)

(V

)

Time (μs)

Qin=1fC

Qin=5fC

Qin=10fC

Qin=20fC

Qin=30fC

Qin=40fC

Qin=50fC

Qin=60fC

Qin=70fC

Qin=80fC

Qin=90fC

Qin=100fC

Qin

Qin

Qin

Qin

Qin

Qin

Qin

Qin

Qin

Qin

Qin

Qin

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Figure 7.15 The shaper output amplitude vs. the input charge

The high counting rate simulation test the shaper output response in the case of the high

rate input current pulses (Ipulse) from 100KHz to 1MHz. The shaper output responses for

input pulse frequency equal 100KHz, 333KHz, 500KHz, and 1MHz are presented in

Figure 7.16, Figure 7.17, Figure 7.18, and Figure 7.19 respectively.

0

0.05

0.1

0.15

0.2

0.25

0 20 40 60 80 100

Sh

ap

er

ou

tpu

t am

pli

tud

e (

Vsi

gn

al(

ou

t) )

(V

)

Input Charge (fC)

Linear charge-to-voltage

Slope ≈ 2.7 mV/fC

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Figure 7.16 The shaper output response for the input pulse frequency of 100kHz

Figure 7.17 The shaper output response for the input pulse frequency of 333kHz

2.7

2.705

2.71

2.715

2.72

2.725

2.73

2.735

0 5 10 15 20 25 30 35 40 45 50

Vo

ut(

Sh

ap

er)

(V

)

Time (μs)

2.7

2.705

2.71

2.715

2.72

2.725

2.73

2.735

0 5 10 15 20 25 30 35 40 45 50

Vou

t(S

haper)

(V

)

Time (μs)

No baseline shift

Baseline shift = 1mV

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Figure 7.18 The shaper output response for input pulse frequency of 500kHz

Figure 7.19 The shaper output response for input pulse frequency of 1MHz

In the case of the 100kHz input pulse rate, there is no shift in the baseline at the shaper

output (Figure 7.16). However, 1mV shift of the baseline after 50μs is measured for the

case of input pulse frequency equal 333kHz (Figure 7.18). For the 500kHz and the 1MHz

input pulse rate, 3mV and 6mV shift of the baseline are measured after 50μs respectively

2.7

2.705

2.71

2.715

2.72

2.725

2.73

2.735

0 5 10 15 20 25 30 35 40 45 50

Vou

t(S

haper)

(V

)

Time (μs)

2.695

2.7

2.705

2.71

2.715

2.72

2.725

2.73

2.735

0 5 10 15 20 25 30 35 40 45 50

Vou

t(S

haper)

(V

)

Time (μs)

Baseline shift = 3mV

Baseline shift = 6mV

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(Figure 7.19). Therefore, in order to minimize the loss of the resolution to 1mV, the input

frequency up to 333kHz is acceptable for the designed analog front-end signal processing

channel with the extracted parasitics.

7.2.2 Post-layout noise simulation

The total noise of the post-layout design has been simulated and measured at the shaper

output. The ENC equivalent of 277 r.m.s electrons has been achieved for a detector

capacitance (Cdet) of 1pF. Extra noise simulations have been done by increasing the

detector capacitance (Cdet) from 1pF to 10pF (Figure 7.20).

Figure 7.20 The ENC of the designed signal processing channel with the layout parasitics vs. the detector

capacitance

0

100

200

300

400

500

600

700

800

900

0 2 4 6 8 10 12

EN

C (

r.m

.s e

lectr

on

s)

Detector capacitance (pF)

Slope ≈ 57 [r.m.s electrons/pF]

ENC ≈ 57∙Cdet + 200 [r.m.s electrons]

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7.3 Performance summary

The simulation results of the analog front-end signal processing channel for the pre-

layout and post-layout system are summarized in Table 7.1.

Table 7.1 The pre-layout and post-layout performance summaries for the analog front-end signal

processing channel

Category Pre-layout Post-layout

Shaper peaking time (τp) 103ns 150ns

DC potential of the shaper baseline 2.75V 2.731V

ENC for Cdet = 1pF 170 r.m.s electrons 277 r.m.s electrons

ENC vs. Cdet in pF

[r.m.s electrons]

37∙Cdet + 120

57∙Cdet + 200

Charge-to-voltage conversion 3mV/fC 2.7mV/fC

Input charge range Up to 50fC Up to 50fC

Maximum input pulse frequency for the

baseline shift smaller than 1mV

500kHz 333kHz

As a result of the parasitic extraction, the post-layout simulation has shown a small

decrease in performance for the noise characteristics and for the shaper peaking time.

Based on the post-layout simulation results, the designed analog front-end signal

processing channel has been compared to other related work (Table 7.2).

Table 7.2 Performance comparisons between this work and other related works

work Ref. [19] Ref. [21] This work

Technology 0.8μm 0.35μm 0.13μm

Power supply 4V 3.3V 3.3V

Shaper order 1st

order 2nd

order 1st order

Peaking time 45ns 195ns 150ns

Charge-to-voltage

conversion gain

20mV/fC 18mV/fC 2.7mV/fC

Cf N/A 100fF 100fF

Power per channel 1mW 13mW 5.76mW

ENC vs. Cdet in pF

[r.m.s electrons]

44∙Cdet+450

10∙Cdet+275

57∙Cdet+200

Input charge range N/A < 70fC < 50fC

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Table 7.2 shows that the total noise for this work in terms of the ENC corresponding to

the 1pF detector capacitance has been smaller than the total noise for the other two

related works. In addition, the channel power consumption is approximately half of that

reported in [21]. This comparison shows that this work has achieved the low noise

performance with respect to the low capacitance pixelated semiconductor detector by a

relatively efficient power usage.

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Chapter 8 Conclusion and future work

In this thesis, the low noise analog front-end detector signal processing channel for the

application in the low capacitance pixelated semiconductor detector system has been

designed and analyzed using the IBM 130nm CMOS technology. The designed signal

processing channel features a noise optimized charge sensitive amplifier (CSA) and a fast

first order CR-RC pulse shaper. The noise contribution of the CSA preamplifier that

adopts the dual PMOS cascode amplifier structure has been well optimized by applying

the proposed current source transistor noise optimization methodology. The high

feedback resistance (Rf) of CSA in the mega-ohm range has been achieved with the

implementation of the adaptive continuous reset circuitry. In order to stabilize the

baseline shift due to the extra pole generated by the reset network, the pole-zero

cancellation circuitry has been designed and integrated with the CR-RC pulse shaper.

The CMOS transistor layout design for one single signal processing channel has been

generated and simulated with the extraction of the parasitics. Corresponding to the low

detector capacitance (Cdet) of 1pF, the HSPICE simulation shows that the low Equivalent

Noise Charge (ENC) of 277 r.m.s electrons has been achieved for the shaper peaking time

(τp) equivalent of 150ns and the channel power consumption of 5.76mW. The charge-to-

voltage conversion has been 2.7mV/fC for the input charge range (Qin) within 50fC. The

post-layout simulation has shown a small decrease in performance for the noise

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characteristics and the shaper peaking time (τp). The performance comparison between

the pre-layout and the post-layout simulation is summarized in Table 8.1.

Table 8.1 The pre-layout and post-layout performance summaries for the analog front-end signal

processing channel

Category Pre-layout Post-layout

Power supply (VDD) 3.3V 3.3V

Shaper peaking time (τp) 103ns 150ns

ENC for Cdet = 1pF 170 r.m.s electrons 277 r.m.s electrons

ENC vs. Cdet in pF

[r.m.s electrons]

37∙Cdet +120

57∙Cdet+200

Charge-to-voltage conversion 3mV/fC 2.7mV/fC

Input charge range Up to 50fC Up to 50fC

The performance of the designed analog front-end signal processing channel based on the

post-layout simulation has also been compared with other related works. The comparison

shows that this work has achieved the low noise performance with respect to the low

capacitance pixelated semiconductor detector by a relatively efficient power usage.

For future work considerations, a complete and optimized layout which includes the

entire 16 analog front-end signal processing channels is targeted. Additionally, the

smaller voltage supply will be considered for achieving the lower single channel power

consumption. Lastly, we would like to wrap up the complete IC design of the pixelated

semiconductor radiation detector by implementing the additional signal extraction block

that includes the Analog-to-Digital signal processing circuitry.

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References

[1] B. J. Heismann, Semiconductor Radiation Detection Systems, K. Iniewski, Ed.

Florida, United States of America: CRC Press, 2010, ch. 1, p. 14.

[2] R. Leckie, H. Lenos, "CZT Detectors converting assembly technologies open new

application opportunities," in Oct/Nov 2009 issue of Chip Scale Review.

[3] H. Spieler, Semiconductor Detector Systems. New York, United States of America:

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[4] University of Zurich. Early Clinical Diagnosis of Alzheimer's Disease. [Online].

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Iniewski, Ed. New Jersey, United States of America: Wiley, 2009, ch. 6, pp. 135 –

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[6] G. De Geronimo, P. O’Connor, A. Kandasamy, J. Grosholz, "Advanced Readout

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[7] Gianluigi De Geronimo, Angelo Dragone, Joe Grosholz, Paul O’Connor, Emerson

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no. 2, pp. 303-312, 2007.

[8] Pawel Grybos, "Pole-Zero Cancellation Circuit With Pulse Pile-Up Tracking System

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for Low Noise Charge-Sensitive Amplifiers," IEEE TRANSACTIONS ON

NUCLEAR SCIENCE, vol. 55, no. 1, February 2008.

[9] J. Vandenbussche, F. Leyn, G. Van der Plas, G. Gielen, W. Sansen, "A Fully

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SCIENCE, vol. 55, no. 4, pp. 2323-2328, 2008.

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[12] J.F. Pratte, C.M. Pepin, D. Rouleau, O. M nard, J. Mouine, R. Lecomte, "Design of a

Fast Shaping Amplifier for PET/CT APD Detectors with Depth-Of-Interaction,"

IEEE TRANSACTIONS ON NUCLEAR SCIENCE, vol. 49, no. 5, pp. 2448-2454,

2002.

[13] W.M.C. Sansen, Z.Y. Chang, "Limits of Low Noise Performance of Detector

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Systems, vol. 37, no. 11, pp. 1375 - 1382 , 1990.

[14] P. Grybos, P. Maj, R. Szczygiel, "Comparison of two pole-zero cancellation circuits

for fast charge sensitive amplifier in CMOS technology," Mixed Design of

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Integrated Circuits and Systems, 2007.

[15] P. Grybos, R. Szczygiel, "Pole-Zero Cancellation Circuit With Pulse Pile-Up

Tracking System for Low Noise Charge-Sensitive Amplifiers," IEEE Transactions

On Nuclear Science, vol. 55, no. 1, pp. 583 - 590 , 2008.

[16] Z. Y. Chang, W. M. C. Sansen, "Low-Noise Wide-Band Amplifiers in Bipolar and

CMOS Technologies," in Low-Noise Wide-Band Amplifiers in Bipolar and CMOS

Technologies. Boston, United States of America: Kluwer Academic Publishers,

1991, p. 196.

[17] P. Grybos, M. Idzik, P.Maj, "Noise Optimization of Charge Amplifier With MOS

Input Transistors Operating in Moderate Inversion Region for Short Peaking Times,"

IEEE Transactions On Nuclear Science, vol. 54, no. 3, 2007.

[18] G. D. Geronimo Paul O’Connor, "Prospects for charge sensitive amplifiers in scaled

CMOS," Nuclear Instruments and Methods in Physics Research, pp. 713–725, 2002.

[19] Y. Hu, J. L. Solere, D. Lachartre, R. Turchetta, "Design and Performance of a Low-

Noise,Low-Power Consumption CMOS Charge Amplifier for Capacitive Detectors,"

IEEE TRANSACTIONS ON NUCLEAR SCIENCE, vol. 45, no. 1, p. 119, 1998.

[20] P. E. Allen, D. R. Holberg, CMOS Analog Circuit Design Second Edition. New

York, Unites States of America: Oxford University Press, 2002, ch. 3, p. 89.

[21] X. C. Fang, C. Hu-Guo, D. Brasse, Y. Hu, "Design and characterization of a multi-

channel front-end readout ASIC with low noise and large dynamic input range for

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APD-based PET imaging," Analog Integrated Circuit Signal Processing, vol. 66, pp.

31-40, 2011.

[22] Ming-Cheng Lin, M. Syrzycki, "Current Source Transistor Optimization

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82

Appendix A. The test of the current source noise

optimization methodology

In this section the validity of the proposed current source transistor noise optimization

methodology is examined [22]. The methodology is applied to design four preamplifiers

in the CSA such that:

The four preamplifiers are designed with the same amplifier structure (Figure

4.2), bias condition (Figure 4.4), and the system parameters (Figure 4.1).

The four preamplifiers are designed with different current source thermal noise

scaling factor and current source flicker noise scaling factor (Figure

A.1).

Figure A.1 Four CSAs with 4 selected current source noise scaling factors

The input transistor optimization methodology is first applied to find the optimal

geometry of the input transistor M1 for all four preamplifiers is: (W/L)1=200μm/0.4μm.

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As a next step, the current source optimization methodology is applied to design the

current source transistors M4 and M6 in all four preamplifiers using Eq.(3.18) and

Eq.(3.19). The optimized current source transistors’ geometries are presented in Figure

A.2.

Figure A.2 The noise optimized current source transistor geometries for M4 and M6

The four designed preamplifiers will be simulated together with the first order CR-RC

shaper of shaping time (τp) equal 100ns. The shaper is designed using the macromodel

op-amp and the passive components in HSPICE (Figure A.3).

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Ri (100kΩ)

Ci (1pF)

Cd

(1pF)

Rd

(100kΩ)

Op-amp

macromodel

Vout(CSA) Vout(Shaper)

Figure A.3 First order CR-RC pulse shaper designed in HSPICE

During the HSPICE noise simulation, the noise contributions from the detector, reset

network, and the shaper are ignored. The thermal and the flicker noise contribution of the

input transistor M1 and the current source transistor M4 and M6 for the four

preamplifiers are presented in Figure A.4.

Figure A.4 Simulated ENC for four CSAs designed with current source thermal noise scaling factor =

10% and the current source flicker noise scaling factor = 10% to 40%

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85

Based on the noise simulation result in Figure A.4, the simulated noise scaling factors

and are compared with their theoretical values (Table A.1)

Table A.1 Theoretical and values and their simulated results for current source transistor M4 and

M6 in four preamplifiers

Preamplifier

Analytical model Simulation result

M4 M6

(1) 10% 10% 20.9% 11.9% 23.0% 4.0%

(2) 10% 20% 20.3% 21.0% 23.1% 9.9%

(3) 10% 30% 20.3% 30.0% 22.5% 14.0%

(4) 10% 40% 20.5% 39.15% 21.9% 16.54%

The HSPICE noise simulation result shows that the simulated values for current

source transistors M4 and M6 are approximately 10% higher than the theoretical

results. On the other hand, the analytical model for is very close to the simulation

results for the current source transistor M4, but it is only about one-half of the theoretical

for the current source transistor M6. These discrepancies is expected since the

simple formulas for gm in the strong inversion and for the Cg formula in Eq.(3.7) are not

sufficiently accurate to describe the MOSFET electrical behavior for deep submicron

technology. Other factor that contributed to these discrepancies is the flicker noise

coefficient of the MOSFET Kf that is varied by the biasing condition and the channel

length. In all simulation cases, thermal and flicker noise contribution of current source

transistors M4 and M6 were a fraction of the thermal noise of the input transistor M1.

Thus, the proposed current source transistor noise optimization technology can be served

as a reference guide for CSA designers especially for CSAs and MOSFETs operating at

even smaller power supplies.