ICode9

精准搜索请尝试: 精确搜索
首页 > 编程语言> 文章详细

【雷达图像】SAR合成孔径雷达成像及处理matlab源码

2021-07-09 12:03:52  阅读:246  来源: 互联网

标签:rg tr range 源码 sig matlab SAR Nr pi


一、简介

在这里插入图片描述
在这里插入图片描述
在这里插入图片描述
在这里插入图片描述
在这里插入图片描述
在这里插入图片描述
在这里插入图片描述
在这里插入图片描述
在这里插入图片描述

二、源代码

clear all;
%======================================================================
%%% (I) parameters' definition
%======================================================================
c=3e+8;										% speed of light
pi=3.1415926;	 					   	% pi
j00=sqrt(-1);							   % square root of -1
 
res_a=2;										% required azimuth resolution
k_r=1.2;										% range factor
 
Ra=4000.;									% radar working distance
va=70.; 										% radar/platform forward velocity
fc=3.e+9;	 						   	% carrier frequency 
FsFactor = 1.0;
theta=90*pi/180;						   % squint angle   
 
%======================================================================
 
lamda=c/fc;									% wavelength
Br=k_r*c/2./res_r;					   % required transmitted bandwidth
Fs=Br*FsFactor;						   % A/D sampling rate
bin_r=c/2./Fs;							   % range bin
Kr=Br/Tp;					  		      % range chirp rate	  
 
La=Ra*k_a*lamda/2/res_a;            % required synthetic aperture length
Ta=La/va;									% required synthetic aperture time
fdc=2*va*cos(theta)/lamda;          % doppler centriod
fdr=-2*(va*sin(theta)).^2/lamda/Ra;	% doppler rate
Bd=abs(fdr)*Ta;						   % doppler bandwidth
prf=round(Bd*2);						   % PRF	
 
%======================================================================
%%%(II) echo return modelling (point target)
%======================================================================
 
na=fix(Ta*prf/2);							% azimuth sampling number
ta=-na:na;											
ta=ta/prf;								   % slow time along azimuth
xa=va*ta-Ra*cos(theta);				   % azimuth location along flight track
Na=2*fix(na);
 
%x0=[  0  0  0  0  0 ];             % define multi points if you want
%R0=[-20 -10 0 10 20 ];             % x0: azimuth location (positive towards forward velocity)
                                    % R0: slant range location (positive towards far range)
 
x0=[ 0 0 ];  R0=[ 0 10 ];                % only one point
Npt_num = length(x0);
 
ra=zeros(Npt_num, length(xa));      % calculate every point target's slant range history
for i=1:Npt_num                                    
	ra(i,:)=sqrt((Ra*sin(theta)+R0(i)).^2+(xa+x0(i)).^2);		 
end   
 
rmax=max(max(ra));						% max. slant range
rmin=min(min(ra));						% min. slant range
rmc=fix((rmax-rmin)/bin_r);			% range migration,	number
 
rg=0*ra;                            % initialize 
rg=fix((ra-rmin)/bin_r+1);				% range gate index caused by range migration
rgmax=max(max(rg));
rgmin=min(min(rg));
 
nr=round(Tp*Fs);							% samples of a pluse
tr=1:fix(nr)+1;									
tr=tr/Fs-Tp/2;								% fast time within a pluse duration
Nr=nr+rgmax;
 
%======================================================================
%%%(II) echo return modelling (point target)
%======================================================================
 
sig=zeros(Na,Nr); 
for i=1:Na			
	for k=1:Npt_num
  		sig(i,rg(k,i):rg(k,i)+nr)=sig(i,rg(k,i):rg(k,i)+nr)+exp(-j00*4*pi/lamda*ra(k,i))*exp(-j00*pi*Kr*(tr).^2);
   end  
end
%%%  parameters' definition
c=3e+8;										% speed of light
pi=3.1415926; 
j=sqrt(-1);	
 
Tp=1.e-6; 								% transmitted pulse width      
fc=1.e+9;	 						   	% carrier frequency 
Br=50.e+6;              % transmitted bandwidth
Fs=200.e+6;             % A/D sample rate
kr=Br/Tp;               % range chirp rate
 
Nr=Tp*Fs;
Ni=1:Nr;
tr=(Ni-Nr/2)*Tp/Nr;
 
%===============================
%Chirp pulse echo from point A
%===============================
 
sig_point0 = exp(j*pi*kr*(tr).^2);
 
%===============================
%Chirp pulse echo from point B
%===============================
 
dr=3;  dr_t=2*dr/c;  dN=dr_t*Fs;
sig_point1 = exp(j*pi*kr*(tr-dr_t).^2);
 
sig_0 = zeros(1, 3*Nr); sig_1 = sig_0; sum_sig = sig_0;
 
sig_0(Nr+1:2*Nr)=sig_point0;
sig_1(Nr+dN+1:2*Nr+dN)=sig_point1;
 
%===============================
% Summary echo signal of A and B
%===============================
 
sum_sig = sig_0 + sig_1;
 
figure;
subplot(4,1,1); plot(real(sig_0));
subplot(4,1,2); plot(real(sig_1));
subplot(4,1,3); plot(real(sum_sig));

三、运行结果

在这里插入图片描述
在这里插入图片描述

标签:rg,tr,range,源码,sig,matlab,SAR,Nr,pi
来源: https://blog.51cto.com/u_15287693/3023758

本站声明: 1. iCode9 技术分享网(下文简称本站)提供的所有内容,仅供技术学习、探讨和分享;
2. 关于本站的所有留言、评论、转载及引用,纯属内容发起人的个人观点,与本站观点和立场无关;
3. 关于本站的所有言论和文字,纯属内容发起人的个人观点,与本站观点和立场无关;
4. 本站文章均是网友提供,不完全保证技术分享内容的完整性、准确性、时效性、风险性和版权归属;如您发现该文章侵犯了您的权益,可联系我们第一时间进行删除;
5. 本站为非盈利性的个人网站,所有内容不会用来进行牟利,也不会利用任何形式的广告来间接获益,纯粹是为了广大技术爱好者提供技术内容和技术思想的分享性交流网站。

专注分享技术,共同学习,共同进步。侵权联系[81616952@qq.com]

Copyright (C)ICode9.com, All Rights Reserved.

ICode9版权所有