57 lines
2.1 KiB
Matlab
57 lines
2.1 KiB
Matlab
function [ echo_rd_mtx, target_list_RDA, sigma_n_rd ] = ...
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echo_processing_CS( echo_mtx, PRF, fs, fc, B, D, d, sigma_n, P_fa, lambda_r, lambda_d )
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% This function processes echo data using compressed sensing method.
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%
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% Usage:
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% [echo_rd_mtx, target_list_RDA, sigma_n_rd] = echo_processing_MF(echo_mtx, PRF, fs, fc, B, D, d, sigma_n, P_fa, lambda_r, lambda_d)
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%
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% Inputs:
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% echo_mtx: Matrix containing the echo data
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% PRF: Pulse Repetition Frequency
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% fs: Sampling frequency
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% fc: Carrier frequency
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% B: Bandwidth
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% D: Duty ratio
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% d: Antenna spacing
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% sigma_n: Input noise level of the echo data
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% P_fa: False alarm probability threshold
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% lambda_r: LASSO weight for range processing
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% lambda_d: LASSO weight for doppler processing
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%
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% Outputs:
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% echo_rd_mtx: Echo matrix after range-Doppler processing
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% target_list_RDA: List of detected targets
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% sigma_n_rd: Estimated noise level after range-Doppler processing
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% parameters
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c = 3e8;
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lambda = c / fc;
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[num_antenna, N, num_pluse] = size(echo_mtx);
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% data processing
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[distance_v, speed_v] = get_range_speed_val(PRF, fs, fc, num_pluse);
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[echo_sFFT_mtx, angle_v] = spatial_FFT(echo_mtx, d, lambda);
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fprintf(' Spatial_FFT done.\n');
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[A, signal_t] = generate_chirp_mtx(PRF, B, fs, D);
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fprintf(' Generate_chirp_mtx done.\n');
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[echo_r_mtx, sigma_n_o] = range_process_CS(echo_sFFT_mtx, A, sigma_n, lambda_r);
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fprintf(' Range_processing done.\n');
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[echo_rd_mtx, stat_RD, sigma_n_rd] = doppler_process_CS(echo_r_mtx, sigma_n_o, lambda_d);
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fprintf(' Doppler_processing done.\n');
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[target_list_RDA_temp, target_map] = rda_detection(stat_RD, P_fa);
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fprintf(' Target_detection done.\n');
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[target_list_RDA] = angle_estimation(target_list_RDA_temp, echo_mtx, A, d, lambda);
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fprintf(' Angle_estimation done.\n');
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target_list_RDA(:, 1) = distance_v(target_list_RDA(:, 1));
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target_list_RDA(:, 2) = speed_v(target_list_RDA(:, 2));
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end
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