3 Commits
+39 -25
View File
@@ -7,8 +7,13 @@ addpath(genpath(fullfile(pwd, 'Antenna_Pattern')));
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% : ego car : x , : y , : z
%
% :
% 1) (0,0,0) :
% 2) boresight( ) : +x axis
% 3) boresight : +y axis, : -y axis
% 4) X-Y : +z axis, : -z axis
% 5) Elevation : x-y 0 deg . +z (+), -z (-)
% 6) Azimuth : +x axis 0 deg . x-y : (+), : (-)
%
%
%
@@ -90,12 +95,16 @@ if flag_plot_physical_array == 1
end
if flag_plot_virtual_array == 1
figure
scatter(mimoarray(2,:) / lambda_c, mimoarray(3,:) / lambda_c, 'o')
figure
scatter(mimoarray(2,1:Nr) / lambda_c, mimoarray(3,1:Nr) / lambda_c, 'bo')
hold on
scatter(mimoarray(2,Nr+1:2*Nr) / lambda_c, mimoarray(3,Nr+1:2*Nr) / lambda_c, 'ro')
scatter(mimoarray(2,2*Nr+1:3*Nr) / lambda_c, mimoarray(3,2*Nr+1:3*Nr) / lambda_c, 'go')
grid on
xlabel('y-axis [\lambda]');
ylabel('z-axis [\lambda]');
title('Virtual Array Positions');
legend('Tx1','Tx2','Tx3');
end
%% Environments
@@ -105,13 +114,13 @@ velR = [0 0 0].'; % radar velocity
accR = [0 0 0].'; % radar acceleration
% 01. Target
tgt_rng = [10];
tgt_rng = [100];
tgt_azi = [0];
tgt_elv = [0];
tgt_pos = [tgt_rng.*cosd(tgt_azi).*cosd(tgt_elv) tgt_rng.*sind(tgt_azi).*cosd(tgt_elv) tgt_rng.*sind(tgt_elv)].';
%tgt_pos = [150 0 0].';
tgt_vel = [5 0 0].';
tgt_vel = [0 0 0].';
tgt_acc = [0 0 0].';
tgt_rcs = [10];
tgt_class = 'TCR';
@@ -121,11 +130,11 @@ tgt.num = size(tgt.rcs, 1);
for tgt_idx = 1 : tgt.num
[tgt_azi_rad(tgt_idx), tgt_elv_rad(tgt_idx), ~] = cart2sph(tgt_pos(1, tgt_idx), tgt_pos(2, tgt_idx), tgt_pos(3, tgt_idx));
tgt_azi_deg(tgt_idx, 1) = rad2deg(tgt_azi_rad(tgt_idx));
tgt_elv_deg(tgt_idx, 1) = rad2deg(tgt_elv_rad(tgt_idx));
tgt_radi_vel(tgt_idx, 1) = norm((tgt_vel(:, tgt_idx) - velR) .* (tgt_pos(:, tgt_idx) - posR)/norm((tgt_pos(:, tgt_idx) - posR)));
tgt_elv_deg(tgt_idx, 1) = rad2deg(tgt_elv_rad(tgt_idx));
tgt_radi_vel(tgt_idx, 1) = sum((tgt_vel(:, tgt_idx) - velR) .* (tgt_pos(:, tgt_idx) - posR)/norm((tgt_pos(:, tgt_idx) - posR)));
end
tgt_table_truth = table([tgt_rng tgt_radi_vel tgt_azi_deg tgt_elv_deg]', 'VariableNames', {'Tgt.'}, 'RowNames', {'Rng[m]', 'Vel,[m/s]', 'Azi.[deg]','Elv.[deg]'});
tgt_table_truth = table([tgt_rng tgt_radi_vel tgt_azi_deg tgt_elv_deg]', 'VariableNames', {'Tgt.'}, 'RowNames', {'Rng[m]', 'radi Vel.[m/s]', 'Azi.[deg]','Elv.[deg]'});
disp(tgt_table_truth);
% 02. Clutter
@@ -237,7 +246,7 @@ for tgtidx = 1 : tgt.num
target_prop_time = target_prop_time_dod + target_prop_time_doa;
% [24.08.22] Lowpass filter 2 oversampling .
delayed_wave = gen_fastramp_fmcw(timing_struct, 2*fs, fc-TxBw/2, TxBw, NumChirps, target_prop_time, tx_phase_initial, opt_waveform);
delayed_Tx_sig(:,m,rxidx) = delayed_Tx_sig(:,m,rxidx) + sqrt(db2pow(powVar_dB(txidx, rxidx))) * (delayed_wave.waveform).' .* exp(-1i * 2 * pi * DDMA_freq(txidx) * ((m-1) * delayed_wave.T_chirp));
delayed_Tx_sig(:,m,rxidx) = txidx * delayed_Tx_sig(:,m,rxidx) + sqrt(db2pow(powVar_dB(txidx, rxidx))) * (delayed_wave.waveform).' .* exp(-1i * 2 * pi * DDMA_freq(txidx) * ((m-1) * delayed_wave.T_chirp));
end
end
end
@@ -443,11 +452,14 @@ sig_rng_dop_fft2 = sig_rng_dop_fft2_wo_n + noise_rng_dop_fft2;
%% Signal Processing
rng_grid = beat2rng(gen_freqgrid(rngFFTlen, fs, 0), Tx_wave.f_slope, c0);
spd_grid = 0.5*dop2spd(gen_freqgrid(velFFTlen, 1/(Tx_wave.T_chirp), 1), lambda_c);
spd_grid_2 = fftshift(spd_grid);
spd_grid_fftshift = 0.5*dop2spd(gen_freqgrid(velFFTlen, 1/(Tx_wave.T_chirp), 1), lambda_c);
spd_grid_no_fftshift = fftshift(spd_grid_fftshift);
PS_sig_single_ch = abs(fftshift(sig_rng_dop_fft2 ,2)).^2/NumChirps/NumSamples/rngFFTlen/velFFTlen;
PS_noise_single_ch = abs(fftshift(noise_rng_dop_fft2 ,2)).^2/NumChirps/NumSamples/rngFFTlen/velFFTlen;
% PS_sig_single_ch = abs(fftshift(sig_rng_dop_fft2 ,2)).^2/NumChirps/NumSamples/rngFFTlen/velFFTlen;
% PS_noise_single_ch = abs(fftshift(noise_rng_dop_fft2 ,2)).^2/NumChirps/NumSamples/rngFFTlen/velFFTlen;
PS_sig_single_ch = abs(sig_rng_dop_fft2).^2/NumChirps/NumSamples/rngFFTlen/velFFTlen;
PS_noise_single_ch = abs(noise_rng_dop_fft2).^2/NumChirps/NumSamples/rngFFTlen/velFFTlen;
Winloss_dB = 0;
RBW_noise = fs/velFFTlen/rngFFTlen;
@@ -470,13 +482,13 @@ if flag_plot_RVM == 1
figure
for ch_idx = 1 : Nr
subplot(sqrt(Nr), sqrt(Nr), ch_idx);
mesh(spd_grid, rng_grid(1:maxrngFFTidx), pow2db(squeeze(PS_sig_single_ch(1:maxrngFFTidx, :, ch_idx))) + 30);
xlabel('Rng [m]');
ylabel('Vel [m/s]');
mesh(spd_grid_fftshift, rng_grid(1:maxrngFFTidx), pow2db((squeeze(PS_sig_single_ch(1:maxrngFFTidx, :, ch_idx)))) + 30);
xlabel('Vel [m/s]');
ylabel('Rng [m]');
zlabel('Pow [dBm]');
hold on
mesh(spd_grid, rng_grid(1:maxrngFFTidx), noise_floor_dBm*ones(maxrngFFTidx, velFFTlen), 'EdgeColor', 'r');
mesh(spd_grid, rng_grid(1:maxrngFFTidx), pow2db(np_esti_single_ch(:, ch_idx).*ones(1,velFFTlen)) + 30, 'EdgeColor', 'g');
mesh(spd_grid_fftshift, rng_grid(1:maxrngFFTidx), noise_floor_dBm*ones(maxrngFFTidx, velFFTlen), 'EdgeColor', 'r');
mesh(spd_grid_fftshift, rng_grid(1:maxrngFFTidx), pow2db(np_esti_single_ch(:, ch_idx).*ones(1,velFFTlen)) + 30, 'EdgeColor', 'g');
legend('Received Data', 'Expected Noise Floor', 'Esti. Noise Floor', 'Location', 'best');
hold off
title(['Ch : ', num2str(ch_idx)]);
@@ -499,7 +511,7 @@ PS_noise_Rx_NCI = noise_Rx_NCI/NumChirps/NumSamples/rngFFTlen/velFFTlen;
if flag_plot_RVM == 1
figure
mesh(spd_grid, rng_grid(1:maxrngFFTidx), pow2db(fftshift(PS_sig_Rx_NCI(1:maxrngFFTidx,:), 2)) + 30);
mesh(spd_grid_fftshift, rng_grid(1:maxrngFFTidx), pow2db((PS_sig_Rx_NCI(1:maxrngFFTidx,:))) + 30);
axis([-vel_max vel_max 0 rng_max]);
xlabel('Speed [m/s]');
ylabel('Range [m]');
@@ -565,7 +577,7 @@ end
% 4. DOA estimation
% 4-1. Generate Snapshot and Resolving Doppler ambiguity by DDMA
adddopidx = [64 128 192 0];
adddopidx = [192 0 64 128];
snapshot_idx_set = [4 1 2 3; 3 4 1 2; 2 3 4 1; 1 2 3 4];
temp_snapshot_data = zeros((Nt+1)*Nr,length(rngidx_set));
for idx = 1 : length(rngidx_set)
@@ -588,7 +600,7 @@ snapshot_data = temp_snapshot_data(1:Nt*Nr, :);
% Add resolved vel info to DET_set structure
for det_idx = 1 : length(rngidx_set)
temp_DET_set{det_idx}.v_amb_mps = spd_grid_2(dopidx_set(det_idx));
temp_DET_set{det_idx}.v_amb_mps = spd_grid_no_fftshift(dopidx_set(det_idx));
end
% 4-2. DOA estimation
@@ -603,13 +615,14 @@ det_jdx = 1;
for det_idx = 1 : size(snapshot_data, 2)
% DOA estimation
% Elv esti.
elv_phase_diff = conj(snapshot_data(4, det_idx)) * snapshot_data(9, det_idx);
elv_phase_diff = conj(snapshot_data(9, det_idx)) * snapshot_data(4, det_idx);
temp_esti_elv_deg = asind(angle(elv_phase_diff)/2/pi/elv_Unit);
% Azi esti.
azi_spectrum = abs(svmat' * snapshot_data(:, det_idx)).^2;
[pks, esti_azi_deg] = findpeaks(azi_spectrum/max(azi_spectrum), test_ang, 'MinPeakHeight', 0.5);
[pks, esti_azi_deg] = findpeaks(azi_spectrum/max(azi_spectrum), test_ang, 'MinPeakHeight', 0.9);
figure
plot(test_ang, pow2db(azi_spectrum));
esti_elv_deg = temp_esti_elv_deg * ones(1, length(esti_azi_deg));
@@ -637,6 +650,7 @@ if flag_plot_birdview == 1
el_deg_set = cellfun(@(x) x.el_deg, DET_set);
snr_db_set = cellfun(@(x) x.snr_db, DET_set);
plotdet = plot3(y_m_set, x_m_set, z_m_set, 'bo');
set(gca, 'XDir', 'reverse');
fn_add_data_tip(plotdet, 'Rng [m]:', r_m_set, 1);
fn_add_data_tip(plotdet, 'aVel [m/s]:', v_amb_mps_set, 2);
fn_add_data_tip(plotdet, 'Azi [deg]:', az_deg_set, 3);