【含仿真录像】雷达信号多普勒效应测距测速matlab仿真

clc; clear; close all; warning off; addpath(genpath(pwd)); N = 4096; N_PRT = 64; Tp = 10e-6; T_PRT = 100e-6; f0 = 10e9; fs = 100e6; B = 10e6; kr = B/Tp; v0 = 60; R0 = 3000; c = 3e8; t = (0:N-1)/fs; r = c*t/2; m = 0:N_PRT-1; v = (m-N_PRT/2)/N_PRT /2/T_PRT *c/f0; s = zeros(N_PRT,N); s_pd = zeros(N_PRT,N); noise = zeros(N_PRT,N); np = zeros(N_PRT,N); n_pd = zeros(N_PRT,N); SNR = 10; %信噪比 dB sigma = 1; A = 10^(SNR/20)*sigma; %信号幅度 %Pulse compression along range direction s_ref = rectpuls(t-Tp/2,Tp).*exp(1i*pi*kr*(t-Tp/2).^2).*[hamming(1001)',zeros(1,N-1001)]; for j = 1:N_PRT tao = 2*(R0-(j-1)*T_PRT*v0)/c; noise(j,:) = sigma/sqrt(2).*(randn(1,N)+1i*randn(1,N)); s_in = A.*rectpuls(t-Tp/2-tao,Tp).*exp(1i*pi*kr*(t-Tp/2-tao).^2).*exp(-1i*2*pi*f0*tao) + noise(j,:); s(j,:) = ifft(fft(s_in,N).*conj(fft(s_ref,N))); np(j,:)= ifft(fft(noise(j,:),N).*conj(fft(s_ref,N))); end subplot(211);imagesc(r,m,abs(s));%?dB xlabel('Range(m)');ylabel('PRT No');title('Pulse Compression'); for n = 1:N s_pd(:,n) = fftshift(fft(s(:,n),N_PRT)); n_pd(:,n) = fftshift(fft(np(:,n),N_PRT)); end subplot(212);imagesc(r,v,abs(s_pd)); xlabel('Range(m)');ylabel('Velocity(m/s)');title('Pulse Doppler'); [v_point,r_point] = find(abs(s_pd) == max(max(abs(s_pd)))); v_est = (v_point-N_PRT/2-1)/N_PRT./T_PRT.*c/f0/2 r_est = (r_point-1)*c/2/fs v_uamb = 1/T_PRT/2.*c/f0/2 SNRi = 20*log10(abs(s(v_point,r_point)-np(v_point,r_point))/(sqrt(N_PRT)*sigma)); SNRo1 = 20*log10(abs(s_pd(v_point,r_point)-n_pd(v_point,r_point))/(sqrt(N_PRT)*sigma)); gain1 = 10^((SNRo1 - SNRi)/20) SNRo2 = 10*log10(sum(abs(s(:,r_point)-np(:,r_point)).^2)/(N_PRT*sigma^2)); gain2 = 10^((SNRo2 - SNRi)/20) %% PD Processing Gain