1.完整项目描述和程序获取
>面包多安全交易平台:https://mbd.pub/o/bread/ZpmWmptx
>如果链接失效,可以直接打开本站店铺搜索相关店铺:
>如果链接失效,程序调试报错或者项目合作也可以加微信或者QQ联系。
2.部分仿真图预览
3.算法概述
大规模MIMO技术通过增加天线数量来显著提升无线通信系统的性能。然而,随着天线数量的增长,信道状态信息(CSI)的准确获取变得越来越具有挑战性。传统的信道估计方法往往需要大量的训练资源和复杂的计算过程,导致较高的开销。因此,利用压缩感知(Compressed Sensing, CS)技术进行信道估计成为研究热点之一。
4.部分源码
.........................................................................
for i1=1:MTKL
rng(i1);
for j1=1:length(SNR)
[i1,j1]
[Noise0,sigma0] = func_whitenoise(seqdH,SNR(j1),V1);
%OFDM机制
seqdH_ifft = ifft(seqdH);
Y = seqdH_ifft+Noise0;
Yfft = fft(Y);
%LS算法
MSE_LS = func_LS(seqd,H,Yfft,N);
%OMP
MSE_OMP = func_OMP(Yfft,seqd,H,invH,N,L,K);
%NOOMP
MSE_NOMP = func_NOMP(Yfft,seqd,H,invH,N,L,K);
%CoSaMP
MSE_CoSaMP = func_CoSaMP(Yfft,seqd,H,invH,N,L);
%CoSaMP
MSE_CoSaMPxs = func_CoSaMPxs(Yfft,seqd,H,invH,N,L,K);
R_LS(i1,j1) = MSE_LS;
R_OMP(i1,j1) = MSE_OMP;
R_NOMP(i1,j1) = MSE_NOMP;
R_CoSaMP(i1,j1) = MSE_CoSaMP;
R_CoSaMPxs(i1,j1) = MSE_CoSaMPxs;
end
end
figure;
semilogy(SNR,mean(R_LS),'-bs',...
'LineWidth',1,...
'MarkerSize',6,...
'MarkerEdgeColor','k',...
'MarkerFaceColor',[0.9,0.0,0.0]);
hold on;
semilogy(SNR,mean(R_OMP),'-mo',...
'LineWidth',1,...
'MarkerSize',6,...
'MarkerEdgeColor','k',...
'MarkerFaceColor',[0.5,0.9,0.0]);
hold on;
semilogy(SNR,mean(R_NOMP),'-b^',...
'LineWidth',1,...
'MarkerSize',6,...
'MarkerEdgeColor','k',...
'MarkerFaceColor',[0.2,0.9,0.5]);
hold on;
semilogy(SNR,mean(R_CoSaMP),'-r>',...
'LineWidth',1,...
'MarkerSize',6,...
'MarkerEdgeColor','k',...
'MarkerFaceColor',[0.9,0.9,0.0]);
hold on;
semilogy(SNR,mean(R_CoSaMPxs),'-k<',...
'LineWidth',1,...
'MarkerSize',6,...
'MarkerEdgeColor','k',...
'MarkerFaceColor',[0.9,0.3,0.3]);
hold on;
xlabel('SNR');
ylabel('MSE');
grid on
legend('LS','OMP','MOMP','CoSaMP','稀疏CoSaMP');
0X_069m
---