%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % 干扰目标情况下SO-CAFR检测概率N=32,Pf=1e-6 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 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=1.2379; Pd_SO1=0; %%%%%%%%%%%%%%%%%%%%%%%%%%%1干扰目标%%%%%%%%%%%%%%%%%%% 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/min(sum(exp_noise(1:N/2)),sum(exp_noise((N/2+1):N))); if (cfar_k>T) count=count+1; end end Pd_SO1(i)=count/M; end figure; plot(SNR_dB,Pd_SO1,'b--','LineWidth',1.5); hold on Pd_SO2=0; %%%%%%%%%%%%%%%%%%%%%%%%后半参考滑窗包含2干扰目标%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 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/min(sum(exp_noise(1:N/2)),sum(exp_noise((N/2+1):N))); if (cfar_k>T) count=count+1; end end Pd_SO2(i)=count/M; end plot(SNR_dB,Pd_SO2,'r--*','LineWidth',1.5); hold on %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%前后半参考滑窗各包含1干扰目标%%%%%%%%%%%%%% Pd_SO3=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/min(sum(exp_noise(1:N/2)),sum(exp_noise((N/2+1):N))); if (cfar_k>T) count=count+1; end end Pd_SO3(i)=count/M; end plot(SNR_dB,Pd_SO3,'g-.','LineWidth',1.5); title('干扰目标情况下CA-CAFR检测概率N=36,Pf=1e-6'); legend('r=(0,1)','r=(0,2)','r=(1,1)'); xlabel('信噪比(dB)');ylabel('检测概率');