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SYNTHETIC INSTRUMENT By: Mohsen Javadi Instructor: Dr. S. M. Fakhraie All the materials are copy rights of their respective authors as listed in references In the name of God Tehran University School of Electrical and Computer Engineering Class presentation for the course: “Custom Implementation of DSP Systems1

S YNTHETIC I NSTRUMENT By: Mohsen Javadi Instructor: Dr. S. M. Fakhraie All the materials are copy rights of their respective authors as listed in references

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Page 1: S YNTHETIC I NSTRUMENT By: Mohsen Javadi Instructor: Dr. S. M. Fakhraie All the materials are copy rights of their respective authors as listed in references

SYNTHETIC INSTRUMENT

By: Mohsen Javadi

Instructor: Dr. S. M. Fakhraie

All the materials are copy rights of their respective authors as listed in references

In the name of GodTehran University

School of Electrical and Computer Engineering

Class presentation for the course: “Custom Implementation of DSP Systems”

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Page 2: S YNTHETIC I NSTRUMENT By: Mohsen Javadi Instructor: Dr. S. M. Fakhraie All the materials are copy rights of their respective authors as listed in references

OUTLINE

History of Automated Measurement Synthetic Instruments Advantages of Synthetic Instruments Vector Signal Analyzer Implemented as a

Synthetic Instrument

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Page 3: S YNTHETIC I NSTRUMENT By: Mohsen Javadi Instructor: Dr. S. M. Fakhraie All the materials are copy rights of their respective authors as listed in references

HISTORY OF AUTOMATED MEASUREMENT

people started using these inexpensive computers to control measurement devices measurements to be made faster The knowledge for operating the instruments

is encapsulated in software that anybody can run

With computer-controlled measurement devices, you still needed a separate measurement device for each separate measurement

It seemed fortunate that you didn't necessarily need a different computer for each measurement. 3

Page 4: S YNTHETIC I NSTRUMENT By: Mohsen Javadi Instructor: Dr. S. M. Fakhraie All the materials are copy rights of their respective authors as listed in references

HISTORY OF AUTOMATED MEASUREMENT

rack-em-stack-em putting all these computer-controlled

instruments into one big en-closure They could have a whole slew of measurements

made with the touch of a button The computer would run all the instruments

and record the results some systems got so big that you needed to

carry

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Page 5: S YNTHETIC I NSTRUMENT By: Mohsen Javadi Instructor: Dr. S. M. Fakhraie All the materials are copy rights of their respective authors as listed in references

HISTORY OF AUTOMATED MEASUREMENT

Modular Instruments measurement instruments were put into smaller, plug-

in packages that connected to a common bus Modular packaging can eliminate redundancy Modular design saves money in theory. In practice,

however, cost savings are often not realized with modular packaging

when you want to add another instrument, you add another measurement specific hardware module

Modular Instruments [6]

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Page 6: S YNTHETIC I NSTRUMENT By: Mohsen Javadi Instructor: Dr. S. M. Fakhraie All the materials are copy rights of their respective authors as listed in references

SYNTHETIC INSTRUMENTS With a synthetic instrument, ideally you add

nothing but software to add another instrument

Digital hardwired logic versus CPU[3] A LabVIEW based RF Synthetic Instrument[6]

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Page 7: S YNTHETIC I NSTRUMENT By: Mohsen Javadi Instructor: Dr. S. M. Fakhraie All the materials are copy rights of their respective authors as listed in references

SYNTHETIC INSTRUMENTS

Many of these benefits are a direct result of the modularity aspect of the SI, which consists of

The sampled data delivered by the ADC in a DSP-based instrument can be used to analyze different attributes of the input signal

Synthetic Instrument Context[4]7

Page 8: S YNTHETIC I NSTRUMENT By: Mohsen Javadi Instructor: Dr. S. M. Fakhraie All the materials are copy rights of their respective authors as listed in references

SYNTHETIC INSTRUMENTS The sampled data time series can be analyzed

to extract time-domain attributes of the signal The most common signal processing task is the

transformation of the time series to its spectral representation

Frequency-domain attributes and parameters extractable from the transformed signal include frequency, bandwidth, transfer functions, and gain and phase distortions

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Page 9: S YNTHETIC I NSTRUMENT By: Mohsen Javadi Instructor: Dr. S. M. Fakhraie All the materials are copy rights of their respective authors as listed in references

SYNTHETIC INSTRUMENTS

Direct analysis of the sampled time series offers a high-detail time-localized sample-by-sample

analysis of its spectral representation offers a low-detail, long-time averaged examination

Modern DSP technology offers a third level of time signal analysis to disclose and quantify underlying short-term time-domain signal structures example of a middle-detail time

analysis of a sampled data signal is

its time-varying amplitude and phase

profile not observable in the time

series or its spectral representationSI front- and back-end options[1]

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Page 10: S YNTHETIC I NSTRUMENT By: Mohsen Javadi Instructor: Dr. S. M. Fakhraie All the materials are copy rights of their respective authors as listed in references

ADVANTAGES OF SYNTHETIC INSTRUMENTS Eliminating Redundancy

Power Supply Front Panel Controls Computer Interfaces Computer Controllers Mechanical Enclosures Signal Processing

Measurement Integration The data set is seen as an integrated whole that is

analyzed, categorized, and visualized This is in contrast with the more prevalent way of

approaching test where a separate measurement is done in a sequential process with each test

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Page 11: S YNTHETIC I NSTRUMENT By: Mohsen Javadi Instructor: Dr. S. M. Fakhraie All the materials are copy rights of their respective authors as listed in references

ADVANTAGES OF SYNTHETIC INSTRUMENTS Measurement Speed

synthetic instrument does a measurement that is exactly tuned to the needs of the test being performed. Nothing more, nothing less For example, there is a speed-accuracy trade-off

the most efficient measurement techniques and algorithms can be used

Longer Service Life Synthetic measurement systems can be reprogrammed

Reduce costs by reusing hardware for many applications[6]

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Page 12: S YNTHETIC I NSTRUMENT By: Mohsen Javadi Instructor: Dr. S. M. Fakhraie All the materials are copy rights of their respective authors as listed in references

VECTOR SIGNAL ANALYZER IMPLEMENTED AS

A SYNTHETIC INSTRUMENT12

Page 13: S YNTHETIC I NSTRUMENT By: Mohsen Javadi Instructor: Dr. S. M. Fakhraie All the materials are copy rights of their respective authors as listed in references

QUADRATURE MODULATION s(t)= A(t)cos(ω0t + θ(t)) s(t, nTSym)= An cos(ω0t + θn) s(t, nTSym)=An cos(θn)cos(ω0t)−An sin(θn)sin(ω0t) In=An cos(θn) Qn=An sin(θn) s(t, nTSym)=In cos(ω0t) − Qn sin(ω0t)

16-point constellation with a binary Gray code[1]

QAM modulator for the input vector I(n)+ jQ(n)[1]

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Page 14: S YNTHETIC I NSTRUMENT By: Mohsen Javadi Instructor: Dr. S. M. Fakhraie All the materials are copy rights of their respective authors as listed in references

QUADRATURE DEMODULATOR it must estimate and remove unknown frequency

and phase offsets of the quadrature oscillator and time sampling process

VSA does not require all of this support there are channel and implementation effects;

thus, there will be a difference betweenthe modulator input and the demodulator output

QAM demodulator[1]Constellation space showing a demodulated I–Q point, possiblemodulated I–Q points, decision boundaries, and an error vector[1]

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Page 15: S YNTHETIC I NSTRUMENT By: Mohsen Javadi Instructor: Dr. S. M. Fakhraie All the materials are copy rights of their respective authors as listed in references

VSA

Synthetic Instrument Context[4]

VSA. High-quality DSP-based receiver [1]

Baseband sampled 16-QAM demodulator [1]

16-QAM modulator [1]

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Page 16: S YNTHETIC I NSTRUMENT By: Mohsen Javadi Instructor: Dr. S. M. Fakhraie All the materials are copy rights of their respective authors as listed in references

VSA IMPLEMENTATION A normal receiver will include an equalizer The VSA-based receiver does not use its equalizer in

the same fashion The radio receiver section of the VSA instrument

must acquire carrier frequency and phase from the modulated signal to perform its demodulation task

This is performed with a high-quality DSP-based PLL To minimize phase jitter in the demodlation process,

the PLL bandwidth must be small to acquire it in reasonable time and with a reasonable

offset frequency, the PLL bandwidth must be large the loop bandwidth is variable

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Page 17: S YNTHETIC I NSTRUMENT By: Mohsen Javadi Instructor: Dr. S. M. Fakhraie All the materials are copy rights of their respective authors as listed in references

VSA IMPLEMENTATION the radio receiver part of the VSA instrument must

accommodate input signals with arbitrary bandwidths and arbitrary symbol rates

To control the complexity of the signal collection process the VSA front end will likely have a fixed antialiasing

filter a high-performance ADC operating at a fixed input

sample rate The processing performed by the VSA must include

the option of arbitrary resampling from the fixed input sample rate

The timing jitter introduced by the resampling operation must be significantly smaller than the timing jitter expected to be measured

This means the arbitrary resample must be of extremely high quality

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Page 18: S YNTHETIC I NSTRUMENT By: Mohsen Javadi Instructor: Dr. S. M. Fakhraie All the materials are copy rights of their respective authors as listed in references

EVM

Demodulated constellation and EVM plots of a healthy modulator [1]

Demodulated constellation and EVM plots for a modulator with phase jitter [1]

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Page 19: S YNTHETIC I NSTRUMENT By: Mohsen Javadi Instructor: Dr. S. M. Fakhraie All the materials are copy rights of their respective authors as listed in references

EVM

[1]

[1]

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Page 20: S YNTHETIC I NSTRUMENT By: Mohsen Javadi Instructor: Dr. S. M. Fakhraie All the materials are copy rights of their respective authors as listed in references

REFERENCES

1) Robert Wade Lowdermilk, Member, IEEE, and fredric j. harris, Life Fellow, IEEE ,“Vector Signal Analyzer Implemented as a Synthetic Instrument”, 2009 IEEE

2) Gaetano Pasini’, Pier Andrea Traverse', Domenico Mirri’, Gaetano Iuculano3, Fabio Filicori ,“Hardware Implementation of a Broad-Band Vector Spectrum Analyzer Based on Randomized Sampling”,IMTC 2004.

3) “ Synthetic Instruments Concepts and Applications” ,Copyright © 2005 Elsevier Inc

4) Peter Pragastis, Michael N. Granieri ,“The Up Converter – A Critical Synthetic Instrument Technology”,2008 phase matrix

5) Joe Fleagle ,“TRADEOFFS IN SYNTHETIC INSTRUMENT DESIGN AND APPLICATION”,2005 IEEE.

6) http://zone.ni.com/devzone/20

Page 21: S YNTHETIC I NSTRUMENT By: Mohsen Javadi Instructor: Dr. S. M. Fakhraie All the materials are copy rights of their respective authors as listed in references

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Thanks For Your

Attendance