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Highlights from
Radar System Design and Analysis with MATLAB: Webinar

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Radar System Design and Analysis with MATLAB: Webinar

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09 Apr 2013 (Updated )

MATLAB source code of examples showcased in this webinar

rangeDopplerStreamExample

Contents

% Copyright 2013 The MathWorks, Inc

Ground-Based Monostatic Radar - Range and Doppler Estimation

This example shows how to model a ground-based monostatic pulse radar to estimate the range and speed of fluctuating targets.

Model

maxrange  = 8000; % Maximum range (m)
range_res = 50;   % Range resolution (m)
pd        = 0.9;  % Probability of detection
pfa       = 1e-6; % Probability of false alarm
nint      = 48;   % Number of pulses to integrate

% The transmitted waveform is a chirp. An S-band pyramidal antenna array is
% used in this case. The antenna is mounted on a vehicle moving at 67 mph
% (30 m/s).
apos = [0; 0; 0];                  % Antenna position
avel = [30*cos(30);30*sin(30);0];  % Antenna velocity
fc   = 3e9;                        % Operating frequency
sAnt = lowProfileArray('FrequencyRange',[2/3*fc 4/3*fc],'ViewArray',false);
[sWav,sTx,sAntPlat,sRad,fs,prf] = setupTx(maxrange,range_res,pd,pfa,nint,sAnt,apos,avel,fc);

% Three targets are set in motion in a free space environment.
tgtRCS = [1.2 1.1 1.05];
tgtpos = [2000 4560 5825; 0 0 0; 0 0 0];
tgtvel = [100 -400 350;0 0 0; 0 0 0];    % m/s
[sTgt,sTgtMotion,sChan] = setupTheater(tgtRCS,tgtpos,tgtvel,fc,fs);

% On the receiver side, matched filter, time-varying gain control and
% non-coherent pulse integration are applied to improve SNR. A
% range-Doppler map is generated and a Neyman-Pearson (NP) decision rule is
% used to achieve the desired Pfa.
nf          = 0;                                   % Noise figure
fast_time   = 0:1/fs:1/prf-1/fs;                   % Fast time grid
range_gates = physconst('LightSpeed')*fast_time/2; % Range gates
pulses      = zeros(numel(fast_time),nint);        % Pre-allocate
intpulses   = zeros(numel(fast_time),1);
[sCol,sRx,sRD,sMFilt,sTVG,threshold] = setupRx(nint,nf,pfa,maxrange,range_gates,sWav,sAnt,fc);

Simulate

rsig = zeros(336,3);
ang  = zeros(2,3);
for m = 1:2000
    [s,tx_status] = step(sTx,step(sWav));               % Transmit pulse
    [apos,avel]   = step(sAntPlat,1/prf);               % Move antenna
    for n = 1:3                                         % For each target
        [tpos,tvel]   = step(sTgtMotion{n},1/prf);      % Move target
        [~, ang(:,n)] = rangeangle(tpos,apos);          % Angle between antenna and target
        tsig          = step(sRad,s,ang(:,n));          % Radiate signal
        tsig          = step(sChan{n},tsig,apos,tpos,avel,tvel); % Propagate two ways
        rsig(:,n)     = step(sTgt{n},tsig,true);        % Reflect off target
    end
    rsig = step(sCol,rsig,ang);                         % Collect
    rsig = sum(rsig,2);                                 % Beamform
    nn   = mod(m-1,nint)+1;
    pulses(:,nn) = step(sRx,rsig,~(tx_status>0));       % Receiver pre-amp
    pulses(:,nn) = step(sTVG,pulses(:,nn));             % Time varying gain
    [rdmap,rgrid,sgrid] = step(sRD,pulses,sMFilt.Coefficients); % Range-Doppler estimate
    pulses(:,nn) = step(sMFilt,pulses(:,nn));           % Matched filter
    if nn == nint
        intpulses  = pulsint(pulses,'noncoherent');     % Pulse integration
        [pmax,detect] = findpeaks(intpulses,'MinPeakHeight',sqrt(threshold)); % Detection
        tgtrange   = range_gates(detect-(numel(sMFilt.Coefficients)-1));      % Range estimation
    end
    viewSignals
end

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