Caner Ozdemir - Inverse Synthetic Aperture Radar Imaging With MATLAB Algorithms

%--------------------------------------------------------- % This code can be used to generate Figure 2.18%--------------------------------------------------------- clear close all sigma=1e-10; % set sigma t=-25e-9:0.01e-9:25e-9; % choose time vector N=length(t); mex(2451:2551)=1/sqrt(2*pi)/sigma^3*(1-t(2451:2551). ^2/sigma^2)... .*(exp(-t(2451:2551).^2/2/sigma^2)); % form wavelet mex=mex/max(mex);mex(N)=0; % Frequency domain equivalent dt=t(2)-t(1); % time resolution df=1/(N*dt); % frequency resolution f=0:df:df*(N-1); % set frequency vector mexF=fft(mex)/N; % frequency domain signal %--- Figure 2.18(a)------------------------------------------------ plot(t(2251:2751)*1e9,mex(2251:2751),'k','LineWidth',2); grid minor set(gca,'FontName', 'Arial', 'FontSize',12,'FontWeight','Bold'); xlabel('\ittime, ns'); ylabel('\itamplitude, V'); axis([-2.5 2.5 -.5 1.1]); %--- Figure 2.18(a)------------------------------------------------ figure plot(f(1:750)/1e9,20*log10(abs(mexF (1:750))),'k','LineWidth',2); grid minor set(gca,'FontName', 'Arial', 'FontSize',12,'FontWeight','Bold'); axis([0 f(750)/1e9 -180 -40]); xlabel('\itfrequency, GHz'); ylabel('\itfAmplitude, dB');

%--------------------------------------------------------- % This code can be used to generate Figure and Figure 2.19%--------------------------------------------------------- clear close all fo=1e6; % choose base frequency t=0:1e-9:4e-6; tt=0:1e-9:17e-6; % choose time vector k=1.0e12; % choose chirp rate sinep=sin(2*pi*fo*t);sinep(12001:16001)=sinep; % form CW pulse sinep(17001)=0; m=sin(2*pi*(fo+k*t/2).*t); % form LFM pulse m(12001:16001)=m; m(17001)=0; %--- Figure 2.19(a)------------------------------------------ plot(tt*1e6,sinep,'k','LineWidth',2); set(gca,'FontName', 'Arial', 'FontSize',14,'FontWeight','Bold'); xlabel('Time [\mus]'); ylabel('Amplitude [V]'); axis([0 17 -1.1 1.1]) %--- Figure 2.19(b)------------------------------------------ plot(tt*1e6,m,'k','LineWidth',2); set(gca,'FontName', 'Arial', 'FontSize',14,'FontWeight','Bold'); xlabel('Time [\mus]'); ylabel('Amplitude [V]'); axis([0 17 -1.1 1.1]) % Frequency domain equivalent df=1/170e-6; % frequency resolution f=0:df:df*170000; % set frequency vector sinep=sin(2*pi*fo*t);sinep(170001)=0; m=sin(2*pi*(fo+k*t/2).*t); m(170001)=0; fsinep=fft(sinep)/length(t); % spectrum of CW pulse fm=fft(m)/length(t);% spectrum of LFM pulse %--- Figure 2.20(a)------------------------------------------------ plot(f(1:2000)/1e6,20*log10(abs(fsinep(1:2000))),'k','LineWidth',2); grid minor set(gca,'FontName', 'Arial', 'FontSize',12,'FontWeight','Bold'); xlabel('\itfrequency, MHz'); ylabel('\itAmplitude, dB'); % text(8,-10,'Single tone pulse') axis([0 12 -40 -5]) %--- Figure 2.20(b)------------------------------------------------ figure plot(f(1:2000)/1e6,20*log10(abs(fm (1:2000))),'k','LineWidth',2); grid minor set(gca,'FontName', 'Arial', 'FontSize',12,'FontWeight','Bold'); xlabel('\itfrequency, MHz'); ylabel('\itamplitude, dB'); % text(8,-10,'Chirp pulse') axis([0 12 -40 -5])

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