飞机速度对机载sar成像的影响的matlab代码
时间: 2023-12-30 08:04:24 浏览: 127
以下是一个简单的Matlab代码示例,用于模拟飞机速度对机载SAR成像的影响。代码中使用了快速时间域积分(Fast Time Domain Integration,FTDI)算法来处理SAR成像。
```
%% 飞机速度对机载SAR成像的影响
clear all; close all; clc;
%% SAR系统参数
fc = 9e9; % 载频频率
lambda = physconst('LightSpeed')/fc; % 载波波长
bw = 300e6; % 带宽
t_p = 20e-6; % 脉冲宽度
prf = 1e3; % 重复频率
fs = 2*bw; % 采样频率
k = 2*bw/physconst('LightSpeed'); % 调频率
taup = 5e-6; % 单个脉冲的时间宽度
T = 1/prf; % 重复间隔
R_max = 10e3; % 最大距离
N = 128; % 距离采样点数
M = 256; % 路径采样点数
v = 300; % 飞机速度
%% 场景参数
target_pos = [0, 0, 100]; % 目标位置
target_rcs = 10; % 目标RCS
target_vel = [0, 0, 0]; % 目标速度
%% 生成SAR数据
dt = 1/fs;
t = -t_p/2:dt:t_p/2-dt; % 采样时间
t0 = 0;
tau = linspace(0,t_p,N); % 距离采样点
r = linspace(0,R_max,N); % 距离
f = linspace(-bw/2,bw/2,N); % 频率
x = linspace(-1000,1000,M); % 横向距离
y = linspace(0,T,M); % 纵向距离
[X,Y] = meshgrid(x,y);
% 生成相控阵
d = lambda/2;
theta = asin(d./r);
theta = max(theta,[],2);
theta = repmat(theta,1,M);
for ii=1:N
for jj=1:M
pos = [r(ii)*sin(theta(ii,jj)) x(jj) r(ii)*cos(theta(ii,jj))];
dist = norm(target_pos-pos);
delay = dist/physconst('LightSpeed');
doppler = 2*target_vel(1)*k*cos(theta(ii,jj))+2*target_vel(2)*k*sin(theta(ii,jj));
signal = sqrt(target_rcs*physconst('LightSpeed')^2*prf^3*t_p/bw)*exp(-1i*2*pi*(fc*t0+k*tau(ii)+doppler*tau(ii))*doppler)*sinc(bw*(t-t0-doppler*tau(ii))/t_p).*exp(-1i*2*pi*fc*delay);
SAR_data(ii,jj) = trapz(t,signal);
end
end
%% FTDI算法
t0 = t_p/2;
tau = linspace(0,t_p,N); % 距离采样点
r = linspace(0,R_max,N); % 距离
f = linspace(-bw/2,bw/2,N); % 频率
x = linspace(-1000,1000,M); % 横向距离
y = linspace(0,T,M); % 纵向距离
[X,Y] = meshgrid(x,y);
% 生成相控阵
d = lambda/2;
theta = asin(d./r);
theta = max(theta,[],2);
theta = repmat(theta,1,M);
for ii=1:N
for jj=1:M
pos = [r(ii)*sin(theta(ii,jj)) x(jj) r(ii)*cos(theta(ii,jj))];
dist = norm(target_pos-pos);
delay = dist/physconst('LightSpeed');
doppler = 2*target_vel(1)*k*cos(theta(ii,jj))+2*target_vel(2)*k*sin(theta(ii,jj));
signal = sqrt(target_rcs*physconst('LightSpeed')^2*prf^3*t_p/bw)*exp(-1i*2*pi*(fc*t0+k*tau(ii)+doppler*tau(ii))*doppler)*sinc(bw*(t-t0-doppler*tau(ii))/t_p).*exp(-1i*2*pi*fc*delay);
SAR_data(ii,jj) = trapz(t,signal);
end
end
% FTDI算法
sar_image = zeros(M,N);
for ii=1:M
for jj=1:N
delay = 2*sqrt(R_max^2-x(ii)^2-Y(ii,jj)^2)/physconst('LightSpeed');
doppler = 2*v*k*sin(theta(jj,1));
ftdi_signal = SAR_data(jj,:).*exp(-1i*2*pi*(k*tau+doppler*tau)*delay);
sar_image(ii,jj) = trapz(tau,ftdi_signal);
end
end
% 显示SAR图像
figure;
imagesc(r*sin(theta(:,1)),x,sar_image);
colormap('gray');
xlabel('距离(m)');
ylabel('横向距离(m)');
title('SAR图像');
```
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