86 lines
2.7 KiB
Mathematica
86 lines
2.7 KiB
Mathematica
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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% <EFBFBD><EFBFBD><EFBFBD><EFBFBD>Ŀ<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>SO-CAFR<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>N=32,Pf=1e-6
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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clc;clear all;close all;
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N=36; %<EFBFBD>ο<EFBFBD><EFBFBD><EFBFBD>Ԫ<EFBFBD><EFBFBD><EFBFBD><EFBFBD>
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n=N/2; %<EFBFBD>뻬<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>
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M=1e4; %<EFBFBD><EFBFBD><EFBFBD>ؿ<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>
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SNR_dB=5:1:35; %<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>
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SNR=10.^(SNR_dB./10);
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Simul_len=length(SNR); %<EFBFBD><EFBFBD><EFBFBD>泤<EFBFBD><EFBFBD>
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T=1.2379;
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Pd_SO1=0;
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%%%%%%%%%%%%%%%%%%%%%%%%%%%1<EFBFBD><EFBFBD><EFBFBD><EFBFBD>Ŀ<EFBFBD><EFBFBD>%%%%%%%%%%%%%%%%%%%
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for i=1:length(SNR)
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count=0;
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for j=1:M
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%%%%%%%%%%%<EFBFBD><EFBFBD><EFBFBD><EFBFBD>ָ<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>%%%%%%%%%%%%%%%%%%%%%%%
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lambda=1;
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u=rand(1,N-1);
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exp_noise=log(u)*(-lambda);
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%%%%%%%%%%%%<EFBFBD><EFBFBD><EFBFBD><EFBFBD>Ŀ<EFBFBD><EFBFBD><EFBFBD>ز<EFBFBD>%%%%%%%%%%%%%%%%%%%
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lambda=SNR(i)+1;
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u=rand(1,2);
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exp_target=log(u(1))*(-lambda);
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exp_noise(N)=log(u(2))*(-lambda);
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cfar_k=exp_target/min(sum(exp_noise(1:N/2)),sum(exp_noise((N/2+1):N)));
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if (cfar_k>T)
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count=count+1;
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end
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end
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Pd_SO1(i)=count/M;
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end
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figure;
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plot(SNR_dB,Pd_SO1,'b--','LineWidth',1.5);
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hold on
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Pd_SO2=0;
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%%%%%%%%%%%%%%%%%%%%%%%%<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>ο<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>2<EFBFBD><EFBFBD><EFBFBD><EFBFBD>Ŀ<EFBFBD><EFBFBD>%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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for i=1:length(SNR)
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count=0;
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for j=1:M
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%%%%%%%%%%%<EFBFBD><EFBFBD><EFBFBD><EFBFBD>ָ<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>%%%%%%%%%%%%%%%%%%%%%%%
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lambda=1;
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u=rand(1,N-2);
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exp_noise=log(u)*(-lambda);
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%%%%%%%%%%%%<EFBFBD><EFBFBD><EFBFBD><EFBFBD>Ŀ<EFBFBD><EFBFBD><EFBFBD>ز<EFBFBD>%%%%%%%%%%%%%%%%%%%
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lambda=SNR(i)+1;
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u=rand(1,3);
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exp_target=log(u(1))*(-lambda);
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exp_noise(N)=log(u(2))*(-lambda);
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exp_noise(N-1)=log(u(3))*(-lambda);
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cfar_k=exp_target/min(sum(exp_noise(1:N/2)),sum(exp_noise((N/2+1):N)));
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if (cfar_k>T)
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count=count+1;
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end
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end
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Pd_SO2(i)=count/M;
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end
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plot(SNR_dB,Pd_SO2,'r--*','LineWidth',1.5);
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hold on
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%ǰ<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>ο<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>1<EFBFBD><EFBFBD><EFBFBD><EFBFBD>Ŀ<EFBFBD><EFBFBD>%%%%%%%%%%%%%%
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Pd_SO3=0;
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for i=1:length(SNR)
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count=0;
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for j=1:M
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%%%%%%%%%%%<EFBFBD><EFBFBD><EFBFBD><EFBFBD>ָ<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>%%%%%%%%%%%%%%%%%%%%%%%
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lambda=1;
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u=rand(1,N-2);
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exp_noise=log(u)*(-lambda);
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%%%%%%%%%%%%<EFBFBD><EFBFBD><EFBFBD><EFBFBD>Ŀ<EFBFBD><EFBFBD><EFBFBD>ز<EFBFBD>%%%%%%%%%%%%%%%%%%%
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lambda=SNR(i)+1;
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u=rand(1,3);
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exp_target=log(u(1))*(-lambda);
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exp_noise(N)=log(u(2))*(-lambda);
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exp_noise(N-1)=log(u(3))*(-lambda);
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exp_noise=[exp_noise(1:n-1) exp_noise(N-1) exp_noise(n:N-1) exp_noise(N)];
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cfar_k=exp_target/min(sum(exp_noise(1:N/2)),sum(exp_noise((N/2+1):N)));
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if (cfar_k>T)
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count=count+1;
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end
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end
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Pd_SO3(i)=count/M;
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end
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plot(SNR_dB,Pd_SO3,'g-.','LineWidth',1.5);
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title('<EFBFBD><EFBFBD><EFBFBD><EFBFBD>Ŀ<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>CA-CAFR<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>N=36,Pf=1e-6');
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legend('r=(0,1)','r=(0,2)','r=(1,1)');
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xlabel('<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>(dB)');ylabel('<EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>');
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