OFDM信道估计论文(IP大作业)分析

I=inv(Hls)* Y; for k=1:64

if(real(I(k))>0)%Putting it through a slicer I(k)=1; else I(k)=-1; end end for k=1:64

if(I(k)~=d(k))

error_count_ls=error_count_ls+1; end end

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % I:MMSE ESTIMATOR BASED RECEIVER:

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %I(k) represents the decision matrix.. I=inv(Hmmse)* Y; for k=1:64

if(real(I(k))>0)%Putting it through a slicer I(k)=1; else I(k)=-1; end end for k=1:64

if(I(k)~=d(k))

error_count_mmse=error_count_mmse+1; end end

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% End %End of the 1000 run simulation.. ser_ls(n)=error_count_ls/64000; ser_mmse(n)=error_count_mmse/64000; ser_ls ser_mmse

SNR(n)=SNR_send; end; %作图：

semilogy(SNR,ser_ls,'-r*'); hold on;

semilogy(SNR,ser_mmse,'-b*'); grid on;

xlabel('SNR ( dB )'); ylabel('SER');

legend('SER-ls','SER-mmse');

title('plot of SNR and SER for an OFDM system with MMSE/LS estimator');