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    2013 Agilent Technologies

    Aerospace & Defense Symposium

    2013

    Mult i -antenna Array Measu rementsUsing Digi t izers

    Presented by: Alexander Dickson, Agilent Technologies

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    Multi-antenna Array Measurements

    3

    Agenda (cont.)

    Configuring a Test System (10 min)

    Phase coherence

    Digitizer features

    Conversion loss / NF, power levels Occupied dynamic range

    System-level calibration

    Realized Solution (10 min)

    M9703A digitizer DDC and segmented memory

    Measurement example

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    Parabolic Dish

    Antenna

    Mechanically

    Steered Array

    Passive

    ElectronicallyScanned Array

    Active

    ElectronicallyScanned Array

    Antenna Architectures

    APARMarconi Martello S-723 AEGIS AN/SPY1D(V)

    1940 - Cavity Magnetron

    6-bit Digital Phase Shifter

    4-bit Digital Phase Shifter

    RADAR Dish Antenna

    T/R ModuleIntegrated Phase Shifters

    T/R Modules

    http://en.wikipedia.org/wiki/File:Radar-hatzerim-1-1.jpghttp://en.wikipedia.org/wiki/File:APAR.jpghttp://www.radartutorial.eu/19.kartei/pic/img1121.jpg
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    Modern Active Electronically Scanned

    Phased Array (AESA)

    Key Benefits

    Fixed position antenna

    Ability to form multiple agile beams

    Fast scan rates with hard to predict, irregular scan patterns

    Independent transmit/receive modules per element

    Reduced power loss from integration of RF source on each T/R

    Graceful degradationsingle source failure will not cripple system

    AESA Installed on First US Air Force F15Chttp://www.aviationnews.eu/

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    Historical Phased Array Test Challenges

    Aligning Radiating Elements for Optimum Performance

    Phase and amplitude errors lead to an increase in side lobe levels (SLL)

    Large side lobes indicate a waste of beam forming power and causeinterference

    Average side lobe level due to phase and amplitude errors (normalized to

    isotropic level and using /2 element spacing) [1]:

    +

    Where is the phase error variance (radians) and is the fractionalamplitude error variance

    SLL

    -3dBHP BW

    [1]: J. Ruze, Pattern degradation

    of space fed phased arrays, MIT

    Lincoln Laboratory, Project Rept.

    SBR-1, Dec. 1979.

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    New, or growing Challenges

    Array Element Counts Increasing(need speed without loss of accuracy)

    Digital Moving Closer to the Antenna(may not have access to stimulus in analog form)

    Broadband Modulated Signals (not just pulsed)(need to generate and capture full-bandwidth signals)

    Multi-Function(need flexible measurement system, other typesof signal analysis such as modulation accuracy)

    Search, SAR, etc.

    Communications

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    Multi-antenna Array Measurements

    8

    Agenda

    Phased Array Applications Overview (10 min)

    Antenna architectures and enabling technology

    Benefits of modern phased array antennas

    Test challenges of phased arrays Testing Multi-Element Array Antennas(15 min)

    Phase and gain measurements

    Using complex signals

    Sensitivity to match BWAccelerate your measurements

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    Two Approaches

    Narrow Band Approach

    Swept or stepped tone

    Narrowband receiver

    Measure one freq at a time

    Cross-channel computations in timedomain

    Lower variance by integratinglonger (narrower RBW)

    Broadband Approach

    Broadband stimulus

    Wideband receiver

    Measure all frequenciessimultaneously

    Compute cross-channel spectrum

    Lower variance by averaging

    Measuring Relative Phase and Gain

    DUT RX +DIGITIZER

    Signal

    Generator

    AWG

    Network Analyzers are limited tonarrowband measurements

    Digitizers and VSAs with DDCs have

    adjustable bandwidths

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    Digital Down-conversion (DDC)

    What is a digital down-converter?

    Its a flexible processing block that allows an ADC to run at full rate while the

    output sample rate and bandwidth are optimized to match the current signal.

    Digital signal processing

    Produces complex I&Q samples from real ADC samples

    Frequency translation (tune)

    Filter and decimation (zoom)

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    What a DDC Does For You:

    Isolate the signal of interest

    Improve the analog performance

    and dynamic range (SNR, ENOB),

    by reducing the amount of

    integrated noise

    Extend the amount of capture

    memory (in seconds), or reduce the

    amount of data that need to be

    transferred for a given duration.

    Reduce the workload on post-

    processing algorithms less data

    to analyze

    11

    DDC Benefits

    Noise & other signals in the full ADC

    BW are eliminated with DDC

    Analyzed

    bandwidth

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    DDC - Tune Result

    12

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    DDC - Zoom Result

    13

    For a proper analytic signal,

    the negative frequencies

    need to be removed by the

    decimation filters

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    DDC - Real vs. Complex

    14

    0 Hz f1-f1

    Bandwidth that determines sample rate

    Real-Only signals are

    conjugate symmetric about DC

    Minimum sample rate: 2*f1

    0 Hz

    Complex signals can be

    asymmetrical about DC

    Minimum sample rate: B

    Bandwidth that determines sample rate

    B

    B

    2 Step Process

    Tune (shift)

    Zoom (filter and decimate)

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    DDCProcess Gain for Measurements

    15

    DDC Bandwidth

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    DDCNoise Reduction in Time Domain

    T0System2

    T0System1

    Phase measured

    from reference

    channel to other

    channels

    16

    Decimation Ratio = 2

    Decimation Ratio = 4

    Decimation Ratio = 8

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    Narrow-BandComputing Cross-Channel Time

    Let r(t) be the reference channel and x(t) be the signal on one of the receive

    channels. The test signal is positioned away from spurs and does not have to be at

    the center of the IF.

    Let X = [x0x1x2 xn-1] be N complex samples of x(t)

    Let R = [r0 r1 r2 rn-1] be N complex samples of r(t)

    In Matrix Form the complex number the can be converted to amplitude and phase is:

    where R is the conjugate transpose of R

    In Summation Form the computation is:

    = =

    This calculation is unbiased as the expected value ofthe noise and off-frequency spurious is zero

    Use N=1 when the DDC bandwidth provides sufficient isolation from system spurs and integrated noise power.

    Use N > 1, i.e. 10 or 100 samples, to reduce the phase variance due to noise and spurious.

    17

    G1 = Complex ch-ch ratio (I&Q) Use this

    to compute relative mag and phase

    using:

    Mag = (1)^2 + (1)^2

    Phase = tan()

    ()

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    Frequency Domain Approach (wideband)

    SX

    SN

    H(f) SY = HSX+ SN

    S xf( )

    tx t( ) e j 2 f t

    d

    +

    H(f) is DUT transfer function

    x(t) is a broadband signal with energy at all frequencies of interest

    (noise, chirp, etc.)

    Sx is the vector input spectrum of x(t) computed as the FFT(x(t))

    Sy is the vector output spectrum

    Sn is noise

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    Frequency Domain Approach (wideband)

    SX

    SN

    H(f) SY = HSX+ SN

    S xf( )

    tx t( ) e j 2 f t

    d

    Hest = GYX /GXX

    GYX= SYSX*

    GXX= SXSX*

    * conjugate operation

    +

    Hest = SY /SX

    Average operation

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    Comparing Wide- and Narrow-Band

    Response Methods

    Narrowband is familiar (traditional network analysis, classic RADAR signal)

    Tones used in narrowband have a 0dB peak/avg, with all of the source powerat one frequency. May have better dynamic range.

    Narrow RBWs may have long settling times which slow measurements ordegrade accuracy

    Wideband signals can be almost anything provided theres energy at the

    frequencies of interest. May even be DUT generated. Can use chirps for0dB pk/avg. Lower spectral power density than a tone.

    Wideband signals that mimic DUT signals may be more DUT friendly, orprovide a more realistic answer in the presence of nonlinearities. Pulseshaping, if present, doesnt need to be gated.

    For narrow RBWs wideband measurements may be faster as all frequenciesare captured in parallel. However, there are many variables such as datatransfer time and number of averages that also need to be considered

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    Agenda (cont.)

    Configuring a Test System (10 min)

    Phase coherence

    Digitizer features

    Conversion loss / NF, power levels Occupied dynamic range

    System-level calibration

    Realized Solution (10 min)

    M9703A digitizer

    DDC and segmented memory

    Measurement example

    Multi-antenna Array Measurements

    21

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    Requirements for a Digitizer

    Feature List:

    Multi-channel (n inputs), where n >= antennas in a group

    Sufficient 3dB analog BW

    Digital down converter (DDC)

    Phase coherent inputs (< 1 degree phase diff) Scalable platform

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    Two Methods Used:

    Sine-fit

    Mathematic sine fit to single tonesamples

    Based on IEEE basic test

    methods for digitizers Relatively slow as compared to

    DDC

    DDC (software)

    Uses complex samples

    Complex conjugate ratio methodcancels common mode phasemodulation

    Measuring Digitizer Ch-Ch Phase Coherence

    Signal Generator (CW)

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    Measuring Digitizer Ch-Ch Phase Coherence

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    System Level Calibration

    Considerations:

    How accurate is good enough?

    At what is your IF center frequency and IF BW?

    Using the DDC?

    Using one or more digitizers?

    What software environment are you using?

    Do you have data on complex frequency response for all signal path

    blocks out to the calibration reference plane?

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    System Level Calibration (cont.)

    Signal Source (StepGenerator, Comb

    Generator) with

    Known Complex

    Frequency

    Response

    IF Magnitude and Phase Calibration with Channel Matching

    Signal

    Path

    NF and Gain

    Known (SP)

    Digitizer

    (ADC 1)Signal

    Path

    NF and Gain

    Known (SP)

    Digitizer

    (ADC 1)Signal

    Path

    NF and Gain

    Known (SP)

    Digitizer

    (ADC 1)Signal

    PathNF and Gain

    Known (SP)

    Digitizer

    (ADC 1)

    Signal

    Path

    NF and Gain

    Known (SP)

    Digitizer

    (ADC 1)SignalPath

    NF and Gain

    Known (SP)

    Digitizer(ADC 1)

    Signal

    Path

    NF and Gain

    Known (SP)

    Digitizer

    (ADC 1)Signal

    Path

    Response

    Known (SP1)

    Digitizer

    (ADC 1)

    Sp

    litter

    Convolution of response for source, signal path and digitizer is represented indigitized waveform FFT (divide out source and signal path):

    * W1 = Source * SP1* Digitizer Response1

    * Note: Need to account for splitter impact on ch-ch phase. Possibly using differential 2-step cal.

    Digitized W1

    Source

    CH 1CH 2

    CH 3CH 4

    CH 5

    CH N

    Cal Ref

    Plane

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    System Level Calibration (cont.)

    Magnitude Phase

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    Agenda (cont.)

    Configuring a Test System (10 min)

    Phase coherence

    Digitizer features

    Conversion loss / NF, power levels

    Occupied dynamic range

    System-level calibration

    Realized Solution (10 min)

    M9703A digitizer

    DDC and segmented memory

    Measurement example

    Multi-antenna Array Measurements

    30

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    Agilent M9703A High-Speed Digitizer

    Key Features 12 bit Resolution

    8 channels @ 1.6 GS/s

    Interleaving option to get 4 ch @ 3.2 GS/s

    DC to 2 GHz analog 3dB bandwidth

    Optional real-time digital downconversion

    (DDC) on 8 phase-coherent channels Up to 256 MS/ch memory and segmented

    acquisition

    > 650 MB/s data transfer

    Agilent 89600 Software support

    Reduce the test t ime o f you r DUT with the new M9703A!

    Higher number of sync hron ous acqu is i t ion channels, wider signal capture with the

    best accuracy and f lex ib i l ity , and opt im ized thro ugh put

    M9703A OS support

    Windows XP (32-bit)

    Vista (32/64-bit)

    7 (32/64-bit)

    Linux

    DriversMD1 software

    IVI-C, IVI-COM

    LabVIEW MATLAB (through IVI-COM)

    OTS application software

    MD1 soft front panel

    AcqirisMAQS U1092A-S01/S02/S03

    89600 VSA software

    31

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    x8

    M9703A - DDC Features and Benefits

    Reduce the bandwidth to match the signal

    Reduce noise (including quantization noise) and interference,

    Allows lower sample rate without aliasing Reduce sample rate to the appropriate values for the signal being analyzed.

    More efficient use of memory allows longer duration captures

    Or, allows less data to transfer for the same duration

    Baseband (0 Hz, real-only) or use LO (complex) to tune

    32

    Full Sample Rate

    (1.6 GSa/sec)

    Frequency

    Shift

    Decimation

    Filter

    Sample

    Rate

    Analysis

    Bandwidth1.6 GS/s 1 GHz

    400 Ms/s 300 MHz

    200 Ms/s 160 MHz

    100 Ms/s 80 MHz

    50 Ms/s 40 MHz

    50/2NMs/s 40/2NMHz

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    Optimum Memory Utilization

    Accelerate test time with fewer samples

    Reduced acquisition cycle time

    Longer duration acquisitions

    M9703As Segment Memory Mode

    Event 1 Event 21 2

    3

    Segmented memory optimizes capture time by

    dividing the digitizers available acquisition memory

    into smaller segments.

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    AWG

    Demo Setup

    AWG Configured to Generate 100MHz Wide LFM Chirp

    Digitizer Configured as a Multi-channel Tuned Receiver

    Trigger

    Signals here have bandwidth

    And because they have BW, we can compute FRF at multiple frequencies.

    Splitt

    er

    RX +

    DIGITIZER

    PC w/89600

    VSA SWPCIe

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    The Hardware

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    Broadband Stimulus Signals

    Chirped Pulse (e.g. Radar)

    Spectrum

    PvT

    FRF Mag

    FRF Phase

    Pulse Width: 4usec

    BW 100 MHz

    Uniform Window

    Trigger Delay

    250 avgs/secSpectrum

    PvT

    FRF Mag

    FRF Phase

    9 03 C C

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    Customer Requirement:

    Multi-antenna array measurements

    Element to element phase alignment for narrowbandand wideband signals

    Obtain down-converted IQ data for further analysis

    Hardware/Software:

    N6171A MATLAB software

    Agilent M9703A High Speed Digitizer

    Agilent M8190A Arbitrary Waveform Generator

    Demonstration:

    Configure M9703A and acquire baseband IQ signals

    Calculate and visualize: Signal phase of each of the first four channels of M9703A

    Narrowband Signal: Cross Channel phase correlation

    Wideband Signal: Frequency Response Function (FRF) magnitude

    and phase of channels 2x1, 3x1, and 4x1

    MATLAB Demo: M9703A Cross Channel Phase

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    Measurement Throughput

    Segment #1 Rearm

    (DUT dependent switching

    time80us)

    Segment #2 Offload

    Segment Intervals Rearm Time DUT

    Time

    Acquisition

    Cycle

    Time/Interval Speed

    500 us 100 160 us

    (1.56 MSa/s)

    80 us 660 us 6.6 us 152k int/sec/ch or

    1.2M meas/sec

    500 us 100 80 us(3.125 MSa/s)

    80 us 580 us 5.8 us 172k int/sec/ch or1.4M meas/sec

    500 us 10 40 usec (6.25

    MSa/s)

    80 us 580 us 58 us 17.2k int/sec/ch or

    138k meas/sec

    Acquire: 100

    intervals (tones) or

    10 intervals

    (broadband)

    Acquire: 100

    intervals (tones) or

    10 intervals

    (broadband)

    PCIe

    trig trig

    Idle

    E ti ti C Ch l Ph V i

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    Estimating Cross Channel Phase Variance

    Variance and Power are closely related. For small angles we can use the relationship

    sin()and we also recognize that not all of the noise power goes to changing angle, italso changes amplitude. For a single channel we can show that the angle variance is

    Noise is complex: NR+jNI

    Noise Power: NR2+ NI

    2

    For a nominal angle of zero degrees, only

    the imaginary element of the noise

    contributes to the angular variance hence

    the angular variance in radians is half the

    normalized noise variance

    NR

    NI

    180

    10

    _

    2+

    10_

    2

    Noise on each channel is uncorrelated so we can simply add the variances to get:

    EXAMPLE ( i l th di iti i )

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    EXAMPLE (using only the digitizer noise)

    DUT

    SNR = SigLevel(Noise Density + 10 log10 (ENBW)) where ENBW ~= 1/T

    M9703

    Noise Figure ~30dB (1V range)

    Ch1 (stim) chN (resp)

    -10dBm -50dBm

    180

    10

    _

    2+

    10_

    2

    Assume T= 100 usec

    SNR_STIM = -10(-174 + 30 + 10log10(1.0/100usec)) = 94 dB

    SNR_RESP = -50(-174 + 30 + 10log10(1.0/100usec)) = 54 dB

    Angle Variance = 6.5 mDeg2or equivalently a standard deviation of 0.08 degrees

    S d C l i

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    A & D f S iA & D f S i

    Summary and Conclusion

    Using an Agilent M9703A digitizer with DDC in a solution for multi-

    antenna array measurements provides the following benefits:

    1) Multi-channel coherent measurement solution (< 1 deg)

    2) Fast, adjustable BW measurements producing complex samples withjust enough sample rate (reduced variance)

    3) Integrated 89600 VSA control (w/ hardware DDC acceleration) toleverage wealth of existing, industry standardized measurements

    For more information:

    www.agilent.com/find/axie-antennatest

    http://www.agilent.com/find/axie-antennatesthttp://www.agilent.com/find/axie-antennatesthttp://www.agilent.com/find/axie-antennatesthttp://www.agilent.com/find/axie-antennatest