Reflected signal from walking pedestrian
Compute the reflected radar signal from a pedestrian moving along the x-axis away from the origin. The radar operates at 24 GHz and is located at the origin. The pedestrian is initially 100 meters from the radar. Transmit a linear FM waveform having a 300 MHz bandwidth. The reflected signal is captured at the moment the pedestrian starts to move and at two seconds into the motion.
Create a linear FM waveform and a free space channel to propagate the waveform.
c = physconst('Lightspeed'); bw = 300.0e6; fs = bw; fc = 24.0e9; wav = phased.LinearFMWaveform('SampleRate',fs,'SweepBandwidth',bw); x = wav(); channel = phased.FreeSpace('OperatingFrequency',fc,'SampleRate',fs, ... 'TwoWayPropagation',true);
Create the pedestrian object. Set the initial position of the pedestrian to 100 m on the x-axis with initial heading along the positive x-direction. The pedestrian height is 1.8 m and the pedestrian is walking at 0.5 meters per second.
pedest = backscatterPedestrian( 'Height',1.8, ... 'OperatingFrequency',fc,'InitialPosition',[100;0;0], ... 'InitialHeading',0,'WalkingSpeed',0.5);
The first call to the
move function returns the initial position, initial velocity, and initial orientation of all body segments and then advances the pedestrian motion two seconds ahead.
[bppos,bpvel,bpax] = move(pedest,2,0);
Transmit the first pulse to the pedestrian. Create 16 replicas of the signal and propagate them to the positions of the pedestrian body segments. Use the
rangeangle function to compute the arrival angle of each replica at the corresponding body segment. Then use the
reflect function to return the coherent sum of all the reflected signals from the body segments at the pedestrian initial position.
radarpos = [0;0;0]; xp = channel(repmat(x,1,16),radarpos,bppos,[0;0;0],bpvel); [~,ang] = rangeangle(radarpos,bppos,bpax); y0 = reflect(pedest,xp,ang);
Obtain the position, velocity, and orientation of each body segment then advance the pedestrian motion another two seconds.
[bppos,bpvel,bpax] = move(pedest,2,0);
Transmit and propagate the second pulse to the new position of the pedestrian.
radarpos = [0;0;0]; xp = channel(repmat(x,1,16),radarpos,bppos,[0;0;0],bpvel); [~,ang] = rangeangle(radarpos,bppos,bpax); y1 = reflect(pedest,xp,ang);
Match-filter and plot both of the reflected pulses. The plot shows the increased delay of the matched filter output as the pedestrian walks away.
filter = phased.MatchedFilter('Coefficients',getMatchedFilter(wav)); ymf = filter([y0 y1]); t = (0:size(ymf,1)-1)/fs; plot(t*1e6,abs(ymf)) xlabel('Time (microsec)') ylabel('Magnitude') title('Match-Filtered Reflected Signals') legend('Signal 1','Signal 2')
Zoom in and show the time delays for each signal.
plot(t*1e6,abs(ymf)) xlabel('Time (microsec)') ylabel('Magnitude') title('Matched-Filtered Reflected Signals') axis([50.65 50.7 0 .0026]) legend('Signal 1','Signal 2')
pedestrian— Pedestrian target
Pedestrian target model, specified as a
X— Incident radar signals
Incident radar signals on each body segment, specified as a complex-valued M-by-16 matrix. M is the number of samples in the signal. See Body Segment Indices for the column representing the incident signal at each body segment.
Complex Number Support: Yes
ANG— Directions of incident signals
Directions of incident signals on the body segments, specified as a real-valued
2-by-16 matrix. Each column of
ANG specifies the incident direction
of the signal to the corresponding body part. Each column takes the form of an
[AzimuthAngle;ElevationAngle]. Units are in
degrees. See Body Segment Indices for the column
representing the incident direction at each body segment.
Body segment indices define which columns in
ANG contain the data for a specific body segment. For example, column
X contains sample data for the left lower leg. Column 3 of
ANG contains the arrival angle of the signal at the left lower
|Left lower leg||3|
|Right lower leg||4|
|Left upper leg||5|
|Right upper leg||6|
|Left lower arm||9|
|Right lower arm||10|
|Left upper arm||11|
|Right upper arm||12|