Add Radar simulation

This commit is contained in:
Ksyer
2024-05-09 16:48:41 +08:00
parent c57d8588e3
commit 392f83b068
29 changed files with 409 additions and 56 deletions
@@ -0,0 +1,13 @@
function y = R_d_func(t, range, velocity)
global c f_n T_r;
ti = t - (2 / c) * r(t, range, velocity);
p = rem(ti, T_r); % p = t - nT_r
n = round((ti - p) / T_r);
if (n < 0)
n = 0;
end
y = R_x_func(t, range, velocity) * exp(1j * -2 * pi * f_n(n + 1) * (t - n * T_r));
end
@@ -0,0 +1,5 @@
function y = R_x_func(t, range, velocity)
global scatter_coef c;
ti = t - (2 / c) * r(t, range, velocity);
y = scatter_coef * T_x_func(ti);
end
@@ -0,0 +1,14 @@
function y = T_x_func(t)
global T_r T_p f_n;
p = rem(t, T_r); % p = t - nT_r
n = round((t - p) / T_r);
if (p > T_p)
y = 0;
elseif (p <= 0)
y = 0;
else
y = exp(1j * 2 * pi * f_n(n + 1) * p);
end
end
@@ -0,0 +1,38 @@
global M N K d epsilon f_c Delta_f c scatter_coef B f_s T_p T_r lambda delta_t max_t range_t len freqs slow_len num_pulse
N = 128; % 脉冲个数
M = 5; % 频点个数
K = 10; % 目标个数
d = 32;
epsilon = 1e-5; % 误差
f_c = 10e9; % 初始载频 10GHz
Delta_f = 8e6; % 载频步进间隔 8MHz
% c = 299792458; % 光速
c = 3e8;
scatter_coef = 0.3; % 目标散射强度
B = 64e6; % 带宽 64MHz
% B_0 = 1e9;
T_p = 1e-6 / 3; % 单载频脉冲下的采样周期 / 脉冲宽度
f_s = 100 / T_p; % 快时间采样率
T_r = T_p * 6;
lambda = c / f_c; % 雷达工作波长
% 仿真时间
num_pulse = 180;
delta_t = 1e-2 * T_p;
max_t = num_pulse * T_r;
range_t = 0:delta_t:max_t - delta_t;
len = round(max_t / delta_t);
freqs = ((0:len - 1) * f_s) / len;
% 绘图
figure_flag_1 = false;
figure_flag_2 = false;
figure_flag_3 = false;
slow_len = 1e4;
@@ -0,0 +1,22 @@
function [range, range_idx] = get_range(s_T, s_R, r_0)
global T_r delta_t len c range_t;
% 只取第一个 T_r 的数据计算
range_N = T_r / delta_t;
s_T_first = [s_T(1:range_N), zeros(1, len - range_N)];
s_R_first = [s_R(1:range_N), zeros(1, len - range_N)];
s_T_fft = fft(s_T_first, len);
s_R_fft = fft(s_R_first, len);
% 发射信号和回波信号做相关
p = ifft(s_R_fft .* conj(s_T_fft));
norm_p = real(p).^2 + imag(p).^2;
[~, range_idx] = max(norm_p);
range = range_t(range_idx) * c / 2;
% fprintf("predict range = %f\n", range);
% fprintf("origin range = %f\n", r_0);
% fprintf("err = %f\n", range - r_0);
% fprintf("\n");
end
@@ -0,0 +1,47 @@
function velocity = get_velocity(s_T, s_R, origin_velocity)
global T_r delta_t c f_c max_t slow_len;
freq_s_T = 1 / T_r;
slow_freqs = ((0:slow_len - 1) * (1 / T_r)) / slow_len;
range_t_slow = 1:slow_len;
num_slow = max_t / T_r;
s_R_slow = zeros(1, slow_len);
k = floor(T_r / delta_t);
idx = 1;
while abs(s_R(idx)) == 0
idx = idx + 1;
end
for i = 0:num_slow - 1
while abs(s_R(idx + i * k)) == 0
idx = idx + 1;
end
s_R_slow(i + 1) = s_R(idx + i * k);
end
s_R_fft = fft(s_R_slow);
[~, max_index_s_R] = max(s_R_fft);
freq_s_R = slow_freqs(max_index_s_R);
% figure(2);
% subplot(2, 1, 1);
% plot(range_t_slow, abs(s_R_slow));
% title(sprintf('s_R'));
% subplot(2, 1, 2);
% plot(slow_freqs, abs(s_R_fft));
% title(sprintf('s_R_fft, freq = %E', freq_s_R));
% xlabel('频率 (Hz)');
f_d = freq_s_T - freq_s_R;
velocity = (c * f_d) / (2 * f_c);
fprintf("predict velocity: %f\n", velocity);
fprintf("origin velocity: %f\n", origin_velocity);
fprintf("err = %f\n", velocity - origin_velocity);
fprintf("\n");
end
+86
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@@ -0,0 +1,86 @@
%%
clc;
clear;
config_parameters;
range = [250, 140, 167, 128, 12];
velocity = [16, 76, 155, 125, 463];
global C_n f_n;
C_n = zeros(M, len);
f_n = zeros(M, len);
for n_idx = 1:M
for t_idx = 1:len
C_n(n_idx, t_idx) = floor(rand * (M - 1));
f_n(n_idx, t_idx) = f_c + C_n(n_idx, t_idx) * Delta_f;
end
end
T_x = zeros(M, len);
R_x = zeros(M, len);
R_d = zeros(M, len);
for n_idx = 1:M
for t_idx = 1:len
t = range_t(t_idx);
T_x(n_idx, t_idx) = T_x_func(t);
R_x(n_idx, t_idx) = R_x_func(t, range(n_idx), velocity(n_idx));
R_d(n_idx, t_idx) = R_d_func(t, range(n_idx), velocity(n_idx));
end
end
save temp.mat
%%
clc
clear
load temp.mat
pred_range = zeros(1, M);
range_idx = zeros(1, M);
pred_velocity = zeros(1, M);
for n_idx = 1:M
[pred_range(n_idx), range_idx(n_idx)] = get_range(T_x(n_idx, :), R_x(n_idx, :), range(n_idx));
pred_velocity(n_idx) = get_velocity(T_x(n_idx, :), R_x(n_idx, :), velocity(n_idx));
end
%%
r_range = 1:500;
v_range = 1:500;
[X, Y] = meshgrid(r_range, v_range);
pred_z = zeros(length(r_range), length(v_range));
origin_z = zeros(length(r_range), length(v_range));
for n_idx = 1:M
pred_z(round(pred_range(n_idx)), round(pred_velocity(n_idx))) = 1;
origin_z(round(range(n_idx)), round(velocity(n_idx))) = 1;
end
figure(1)
subplot(211);
mesh(X, Y, pred_z);
title("Predict range-velocity reconstruction under M = 5");
xlabel("Range (m)");
ylabel("Velocity (m/s)");
subplot(212);
mesh(X, Y, origin_z);
title("Origin range-velocity data under M = 5");
xlabel("Range (m)");
ylabel("Velocity (m/s)");
+3
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@@ -0,0 +1,3 @@
function x = r(t, range, velocity)
x = range + velocity * t;
end