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CFAR

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CFAR方法实现
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Nicole
2020-09-06 15:20:13 +08:00
parent c70b7d34d6
commit 34c17ce82a
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GO_CFAR.m Normal file
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% GO-CFAR干扰目标背景下检测性能仿真-
clc;clear all;close all;
N=36; %参考单元长度
n=N/2; %半滑窗长度
M=1e4; %蒙特卡洛仿真次数
SNR_dB=5:1:35; %信噪比
SNR=10.^(SNR_dB./10);
Simul_len=length(SNR); %仿真长度
T=0.8551;
Pd_GO1=0;
for i=1:length(SNR)
count=0;
for j=1:M
%%%%%%%%%%%产生指数噪声%%%%%%%%%%%%%%%%%%%%%%%
lambda=1;
u=rand(1,N-1);
exp_noise=log(u)*(-lambda);
%%%%%%%%%%%%产生目标回波%%%%%%%%%%%%%%%%%%%
lambda=SNR(i)+1;
u=rand(1,2);
exp_target=log(u(1))*(-lambda);
exp_noise(N)=log(u(2))*(-lambda);
cfar_k=exp_target/max(sum(exp_noise(1:N/2)),sum(exp_noise((N/2+1):N)));
if (cfar_k>T)
count=count+1;
end
end
Pd_GO1(i)=count/M;
end
figure;
plot(SNR_dB,Pd_GO1,'b--','LineWidth',1.5);
hold on
Pd_GO2=0;
for i=1:length(SNR)
count=0;
for j=1:M
%%%%%%%%%%%产生指数噪声%%%%%%%%%%%%%%%%%%%%%%%
lambda=1;
u=rand(1,N-2);
exp_noise=log(u)*(-lambda);
%%%%%%%%%%%%产生目标回波%%%%%%%%%%%%%%%%%%%
lambda=SNR(i)+1;
u=rand(1,3);
exp_target=log(u(1))*(-lambda);
exp_noise(N)=log(u(2))*(-lambda);
exp_noise(N-1)=log(u(3))*(-lambda);
cfar_k=exp_target/max(sum(exp_noise(1:N/2)),sum(exp_noise((N/2+1):N)));
if (cfar_k>T)
count=count+1;
end
end
Pd_GO2(i)=count/M;
end
plot(SNR_dB,Pd_GO2,'r--*','LineWidth',1.5);
hold on
Pd_GO3=0;
for i=1:length(SNR)
count=0;
for j=1:M
%%%%%%%%%%%产生指数噪声%%%%%%%%%%%%%%%%%%%%%%%
lambda=1;
u=rand(1,N-2);
exp_noise=log(u)*(-lambda);
%%%%%%%%%%%%产生目标回波%%%%%%%%%%%%%%%%%%%
lambda=SNR(i)+1;
u=rand(1,3);
exp_target=log(u(1))*(-lambda);
exp_noise(N)=log(u(2))*(-lambda);
exp_noise(N-1)=log(u(3))*(-lambda);
exp_noise=[exp_noise(1:n-1) exp_noise(N-1) exp_noise(n:N-1) exp_noise(N)];
cfar_k=exp_target/max(sum(exp_noise(1:N/2)),sum(exp_noise((N/2+1):N)));
if (cfar_k>T)
count=count+1;
end
end
Pd_GO3(i)=count/M;
end
plot(SNR_dB,Pd_GO3,'g-.','LineWidth',1.5);
xlabel('信噪比(dB)');ylabel('检测概率');
title('干扰目标情况下GO-CAFR检测概率N=36,Pf=1e-6');
legend('r=(0,1)','r=(0,2)','r=(1,1)');