Add Radar simulation

Radar simulation/csdn/ksy_main.m

@@ -0,0 +1,39 @@
+%% 超参数
+global c f_c B T_r N F_s M k lambda
+index = 1:1:N;  %产生点向量
+IF_mat = zeros(M,N);  %存储带有噪声的中频信号
+t = 0:1/F_s:T_r-1/F_s;  %时间向量 确定256个点在一个Tr中的每个时刻
+t = t - T_r/2; %将fc作为中心频率
+
+dist = 10;  %目标距离雷达50m的距离
+t_d = 2 * dist / c;  %目标距离雷达的延迟
+velocity = -20;  %目标距雷达的相对速度为30m/s
+f_d = 2 * f_c * velocity / c;  %多普勒频移
+% f_d = 2 * (f_c - B/2) * velocity / c;  %多普勒频移
+scat_coef = 0.8;  %回波信号衰减的比例值
+
+s_T = chirp(t, f_c, t(end), f_c + B);
+pad = round(t_d * F_s);
+s_R = [zeros(1, pad), scat_coef * s_T(1: end - pad)];
+
+for i = 1: M
+    s_T = 1*exp((1i*2*pi)*(f_c*(t+i*T_r)+k/2*t.^2)); %发射信号
+    s_R = scat_coef*exp((1i*2*pi)*((f_c-f_d)*(t-t_d+i*T_r)+k/2*(t-t_d).^2));  %回波信号
+
+    IF = s_T .* conj(s_R);
+    % SNR = 10;
+    % IF_Noise = awgn(IF, SNR, 'measured');
+    IF_Noise = IF;
+    IF_mat(i, :) = IF_Noise;
+end
+
+save('Ego_vehicle_ksy.mat','IF_mat');
+
+% figure;
+% subplot(211);
+% plot(t, s_T);
+% ylim([-1.3, 1.3]);
+% 
+% subplot(212);
+% plot(t, s_R);
+% ylim([-1.3, 1.3]);