基于能量检测的调制方式识别算法MATLAB仿真,识别不同SNR下的MFSK和MPSK，含仿真操作录像

clc; clear all; close all; warning off; addpath 'func\' %全局变量 parameters; SNR0 = -20; N0 = 1000; y_2FSK = zeros(1,N0); y_4FSK = zeros(1,N0); y_8FSK = zeros(1,N0); y_2PSK = zeros(1,N0); y_4PSK = zeros(1,N0); y_8PSK = zeros(1,N0); %2FSK y_2FSK = func_2FSK(N0); %4FSK y_4FSK = func_4FSK(N0); %8FSK y_8FSK = func_8FSK(N0); %BPSK y_2PSK = func_2PSK(N0); %QPSK y_4PSK = func_4PSK(N0); %8PSK y_8PSK = func_8PSK(N0); %调制识别 y_2FSKn = func_add_noise(y_2FSK,SNR0); y_4FSKn = func_add_noise(y_4FSK,SNR0); y_8FSKn = func_add_noise(y_8FSK,SNR0); y_2PSKn = func_add_noise(y_2PSK,SNR0); y_4PSKn = func_add_noise(y_4PSK,SNR0); y_8PSKn = func_add_noise(y_8PSK,SNR0); ps = 1; SNR1 =-12; SNR2 =-16; SNR3 =-20; T = 0.001; %信号带宽W W = fs; %采样频率 Fs = 2*W; m = T*W; n = 2*T*W; %实际信噪比 snr1 = 10.^(SNR1/10); snr2 = 10.^(SNR2/10); snr3 = 10.^(SNR3/10); pn =(1/snr1)*ps; mu0 = n*pn; sigma0 = sqrt(2*n)*pn; mu = n*(pn+ps); sigma = sqrt(2*n*(pn^2+2*pn*ps)); sig = 1; %重复次数 NUM = 10000; %能量检测判决门限 lambda =[-200:10:400]; for kk=1:1:length(lambda); kk ff =0; dd =0; ff1=0; dd1=0; ff2=0; dd2=0; for ii=1:1:NUM; t=(kk-1)*n+1:kk*n; init_phase=1/4*pi; sig=2*sin(2*pi*W/Fs*t+init_phase); noi1=randn(1,n); noi1=sqrt(1/snr1)*noi1; rec1=noi1+sig; noi2=randn(1,n); noi2=sqrt(1/snr2)*noi2; rec2=noi2+sig; noi3=randn(1,n); noi3=sqrt(1/snr3)*noi3; rec3=noi3+sig; L = N0; NFFT = 2^nextpow2(L); Y1 = fft(rec1,NFFT); Y2 = fft(rec2,NFFT); Y3 = fft(rec3,NFFT); Y1s2 = sqrt(2)*abs(Y1(1:NFFT/2))/2; Y2s2 = sqrt(2)*abs(Y2(1:NFFT/2))/2; Y3s2 = sqrt(2)*abs(Y3(1:NFFT/2))/2; sum0_1=max(abs(xcorr(noi1,sig))); sum0_2=max(abs(xcorr(noi2,sig))); sum0_3=max(abs(xcorr(noi3,sig))); sum1_1=max(Y1s2); sum1_2=max(Y2s2); sum1_3=max(Y3s2); if(sum0_1>lambda(kk)); ff=ff+1; end if(sum1_1>lambda(kk)); dd=dd+1; end if(sum0_2>lambda(kk)); ff1=ff1+1; end if(sum1_2>lambda(kk)); dd1=dd1+1; end if(sum0_3>lambda(kk)); ff2=ff2+1; end if(sum1_3>lambda(kk)); dd2=dd2+1; end end Pd_1(kk)=dd/NUM; Pf_1(kk)=ff/NUM; Pd_2(kk)=dd1/NUM; Pf_2(kk)=ff1/NUM; Pd_3(kk)=dd2/NUM; Pf_3(kk)=ff2/NUM; end figure; plot(Pf_1,Pd_1,'-o',Pf_2,Pd_2,'-s',Pf_3,Pd_3,'-*'); hold on; grid on; xlabel('P_{Fa}'); ylabel('P_{d}'); legend('匹配滤波检测，SNR=-12dB','匹配滤波检测，SNR=-16dB','匹配滤波检测，SNR=-20dB'); grid on; hold on; save r.mat Pf_1 Pf_2 Pf_3 Pd_1 Pd_2 Pd_3