Massive MIMO信号检测算法matlab仿真程序.zip

% 仿真五种（MRC,ZF,MMSE，ZF-SIC,MMSE-SIC） Vblast接收的检测性能，绘制误比特率～接收天线数曲线。 % 发端初始化=============================================================== % 发射天线数tx,接收天线数rx,发射矩阵长度L(帧长) clear all; clc; tx=10; rx_number=[20:20:200]; L=10000; Modulation='QPSK'; EbN0=5; B=30000;Ts=1/24300; SNR=EbN0-10*log10(Ts*B); % SNR=5; % 信源A A=randi([0,3],tx*L,1); % 经过QPSK调制的V-Blast发射矩阵X X1=reshape(A,tx,L); X=zeros(tx,L); for k=1:L X(:,k)=pskmod(X1(:,k),4); end % 检测 % MRC====================================================================== disp('MRC'); berm=[]; for rx=rx_number rx % 快衰落Rayleigh信道H H=sqrt(1/2)*(randn(rx,tx,L)+i*randn(rx,tx,L)); % 均值为0方差为1的高斯白噪声n n=sqrt(1/2)*(randn(rx,L)+i*randn(rx,L)); % 未叠加噪声的接收信号R R=zeros(rx,L); for k=1:L R(:,k)=sqrt(1/tx)*H(:,:,k)*X(:,k); end snr=10^(SNR/10); R_noised=R+sqrt(1/snr)*n; x=[]; % 逐时隙对接收符号矢量进行检测，合并得到一帧发射矩阵X的估计x for t=1:L r=R_noised(:,t); HH=H(:,:,t); G=HH'; y=G*r; xtemp=zeros(tx,1); for k=1:tx if imag(y(k))<real(y(k)) && imag(y(k))>-real(y(k)) xtemp(k)=1; elseif imag(y(k))>real(y(k)) && imag(y(k))>-real(y(k)) xtemp(k)=i; elseif imag(y(k))>real(y(k)) && imag(y(k))<-real(y(k)) xtemp(k)=-1; elseif imag(y(k))<real(y(k)) && imag(y(k))<-real(y(k)) xtemp(k)=-i; end end x=[x,xtemp]; end % 从x求A的估计a x1=zeros(tx,L); for k=1:L x1(:,k)=pskdemod(x(:,k),4); end a=reshape(x1,tx*L,1); % 比较A和a计算错值率temp_ber [errbit,temp_ber]=biterr(A,a,2); berm=[berm,temp_ber]; end figure semilogy(rx_number,berm,'*- g'); hold on % ZF======================================================================= disp('ZF'); berz=[]; for rx=rx_number rx % 快衰落Rayleigh信道H H=sqrt(1/2)*(randn(rx,tx,L)+i*randn(rx,tx,L)); % 均值为0方差为1的高斯白噪声n n=sqrt(1/2)*(randn(rx,L)+i*randn(rx,L)); % 未叠加噪声的接收信号R R=zeros(rx,L); for k=1:L R(:,k)=sqrt(1/tx)*H(:,:,k)*X(:,k); end snr=10^(SNR/10); R_noised=R+sqrt(1/snr)*n; x=[]; % 逐时隙对接收符号矢量进行检测，合并得到一帧发射矩阵X的估计x for t=1:L r=R_noised(:,t); HH=H(:,:,t); G=pinv(HH); y=G*r; xtemp=zeros(tx,1); for k=1:tx if imag(y(k))<real(y(k)) && imag(y(k))>-real(y(k)) xtemp(k)=1; elseif imag(y(k))>real(y(k)) && imag(y(k))>-real(y(k)) xtemp(k)=i; elseif imag(y(k))>real(y(k)) && imag(y(k))<-real(y(k)) xtemp(k)=-1; elseif imag(y(k))<real(y(k)) && imag(y(k))<-real(y(k)) xtemp(k)=-i; end end x=[x,xtemp]; end % 从x求A的估计a x1=zeros(tx,L); for k=1:L x1(:,k)=pskdemod(x(:,k),4); end a=reshape(x1,tx*L,1); % 比较A和a计算错值率temp_ber [errbit,temp_ber]=biterr(A,a,2); berz=[berz,temp_ber]; end semilogy(rx_number,berz,'o- b'); % MMSE===================================================================== disp('MMSE'); bermm=[]; for rx=rx_number rx % 快衰落Rayleigh信道H H=sqrt(1/2)*(randn(rx,tx,L)+i*randn(rx,tx,L)); % 均值为0方差为1的高斯白噪声n n=sqrt(1/2)*(randn(rx,L)+i*randn(rx,L)); % 未叠加噪声的接收信号R R=zeros(rx,L); for k=1:L R(:,k)=sqrt(1/tx)*H(:,:,k)*X(:,k); end snr=10^(SNR/10); R_noised=R+sqrt(1/snr)*n; x=[]; % 逐时隙对接收符号矢量进行检测，合并得到一帧发射矩阵X的估计x for t=1:L r=R_noised(:,t); HH=H(:,:,t); G=inv(HH'*HH+(1/snr)*eye(tx))*HH'; y=G*r; xtemp=zeros(tx,1); for k=1:tx if imag(y(k))<real(y(k)) && imag(y(k))>-real(y(k)) xtemp(k)=1; elseif imag(y(k))>real(y(k)) && imag(y(k))>-real(y(k)) xtemp(k)=i; elseif imag(y(k))>real(y(k)) && imag(y(k))<-real(y(k)) xtemp(k)=-1; elseif imag(y(k))<real(y(k)) && imag(y(k))<-real(y(k)) xtemp(k)=-i; end end x=[x,xtemp]; end % 从x求A的估计a x1=zeros(tx,L); for k=1:L x1(:,k)=pskdemod(x(:,k),4); end a=reshape(x1,tx*L,1); % 比较A和a计算错值率temp_ber [errbit,temp_ber]=biterr(A,a,2); bermm=[bermm,temp_ber]; end semilogy(rx_number,bermm,'o- r'); % ZF-SIC=================================================================== disp('ZF-SIC'); berzs=[]; for rx=rx_number rx % 快衰落Rayleigh信道H H=sqrt(1/2)*(randn(rx,tx,L)+i*randn(rx,tx,L)); % 均值为0方差为1的高斯白噪声n n=sqrt(1/2)*(randn(rx,L)+i*randn(rx,L)); % 未叠加噪声的接收信号R R=zeros(rx,L); for k=1:L R(:,k)=sqrt(1/tx)*H(:,:,k)*X(:,k); end snr=10^(SNR/10); R_noised=R+sqrt(1/snr)*n; x=[]; for t=1:L r=R_noised(:,t); HH=H(:,:,t); G=pinv(HH); S=[1:tx]; xtemp=zeros(tx,1); for k=1:tx [wki,ki]=minnorm(G); y=wki*r; if imag(y)<real(y) && imag(y)>-real(y) xtemp(S(ki))=1; elseif imag(y)>real(y) && imag(y)>-real(y) xtemp(S(ki))=i; elseif imag(y)>real(y) && imag(y)<-real(y) xtemp(S(ki))=-1; elseif imag(y)<real(y) && imag(y)<-real(y) xtemp(S(ki))=-i; end r=r-sqrt(1/tx)*xtemp(S(ki))*H(:,S(ki),t); HH(:,ki)=[]; S(ki)=[]; G=pinv(HH); end x=[x,xtemp]; end % 从x求A的估计a x1=zeros(tx,L); for k=1:L x1(:,k)=pskdemod(x(:,k),4); end a=reshape(x1,tx*L,1); % 比较A和a计算错值率temp_ber [errbit,temp_ber]=biterr(A,a,2); berzs=[berzs,temp_ber]; end semilogy(rx_number,berzs,'s- b'); % MMSE-SIC================================================================= disp('MMSE-SIC') bermms=[]; for rx=rx_number rx % 快衰落Rayleigh信道H H=sqrt(1/2)*(randn(rx,tx,L)+i*randn(rx,tx,L)); % 均值为0方差为1的高斯白噪声n n=sqrt(1/2)*(randn(rx,L)+i*randn(rx,L)); % 未叠加噪声的接收信号R R=zeros(rx,L); for k=1:L R(:,k)=sqrt(1/tx)*H(:,:,k)*X(:,k); end snr=10^(SNR/10); R_noised=R+sqrt(1/snr)*n; x=[]; for t=1:L r=R_noised(:,t); HH=H(:,:,t); % G=pinv(HH); G=inv(HH'*HH+(1/snr)*eye(tx))*HH'; S=[1:tx]; xtemp=zeros(tx,1); for k=1:tx [wki,ki]=minnorm(G); % w=inv(HH'*HH+(1/snr)*eye(tx-k+1))*HH'; % y=w(ki,:)*r; y=wki*r; if imag(y)<real(y) && imag(y)>-real(y) xtemp(S(ki))=1; elseif imag(y)>real(y) && imag(y)>-real(y) xtemp(S(ki))=i; elseif imag(y)>real(y) && imag(y)<-real(y) xtemp(S(ki))=-1; elseif imag(y)<real(y) && imag(y)<-real(y) xtemp(S(ki))=-i; end r=r-sqrt(1/tx)*xtemp(S(ki))*H(:,S(ki),t); HH(:,ki)=[]; S(ki)=[]; % G=pinv(HH); G=inv(HH'*HH+(1/snr)*eye(tx-k))*HH'; end x=[x,xtemp]; end % 从x求A的估计a x1=zeros(tx,L); for k=1:L x1(:,k)=pskdemod(x(:,k),4); end a=reshape(x1,tx*L,1); % 比较A和a计算错值率temp_ber [errbit,temp_ber]=biterr(A,a,2); bermms=[bermms