www.gusucode.com > MC-CDMA系统的仿真matlab源码程序 > mc-cdma/rayleigh(移动信道)/gaijin_yidong1.m

    % 6径Rayleigh信道,导频数20.
%低通滤波器取前一点和后两点,没什么改变
clear 
tic;
%设置参数
totalwords=18000;
numusers=4;
wordsize=2;
linktype=0;   %下行链路
ifftsize=256;
procgain=16;  %扩频码的长度
guardtime=32;
guardtype=2;
frameguard=ifftsize+guardtime;  % Guard Time between successive frames (one symbol period)
% 产生要发送的双极性二进制随机数
seed=1234;
rand('seed',seed);	                    	% Set to new seed
seqnumlist = randperm(procgain);
Datatx = zeros(numusers,totalwords);
basesignal0=zeros(1,totalwords*procgain);
for k = 1:numusers,
	Datatx(k,:)=floor(rand(1,totalwords)*2^wordsize);%产生2^wordsize进制发送数据
    %进行映射
     mapping=get80216map(2^wordsize);
     B=Datatx(k,:);
     for i=1:length(B),
     Datatx1(i)=mapping(1+B(i));
     end;
    seqnum=seqnumlist(k);%取得用户k的扩频码
%扩频
    basesignal_0=tranCDMA(Datatx1,procgain,seqnum,linktype);
    basesignal0=basesignal0+basesignal_0; %各个用户的扩频信号进行合并
 end
%ofdm调制
NumCarr =180;	    %数据载波数
%=============
% 每载波要传输多少数据
%=============
numsymb = ceil(length(basesignal0)/NumCarr);
%如果传输的数据不是数据载波的整数倍,则在后面补零
if length(basesignal0)/NumCarr ~= numsymb,
	DataPad = zeros(1,numsymb*NumCarr);
	DataPad(1:length(basesignal0)) = basesignal0;
	basesignal0 = DataPad;
end
clear DataPad;
%PilotIndex=[45 69 93 117 141 165 189 213];     % pilot interval=24
%生成数据和导频图案
Pilot_number=20;
Pattern=ones(ifftsize,numsymb);  % the position of data is set as 1.
Pattern(129,:)=0;                 % DC=0
Pattern([1:28,230:256],:)=0;      % guard band=0
Pattern([34:10:224],:)=4;       % the position of pilot is set as 4.
PilotIndex=find(Pattern==4);   % the pattern of pilot
DataIndex=find(Pattern==1);   %the pattern of data
%生成导频数据
pilotini=randsrc(length(PilotIndex),1,[1 -1;0.5 0.5])*sqrt(2);
%生成数据矩阵
Data=zeros(size(Pattern));
Data(PilotIndex)=pilotini;
Data(DataIndex)=basesignal0;
%==================================
%Find the time waveform using IFFT
%==================================
BaseSignal = ifft(Data);       %ifft是对列进行ifft变换。
%=================================
%Add a Guard Period
%=================================
BaseSignal=[BaseSignal((end-guardtime+1):end,:); BaseSignal];
%BaseSignal = reshape(BaseSignal0,1,size(BaseSignal0,1)*size(BaseSignal0,2));   %先取第一列,再取第二列,……

%===============
% CHANNEL MODEL
%===============
fc=3.5e9;  
V=120;         %V km/h
fdmax=V*fc/3e8/3.6   %fmax=V*fc/C
% channel have delay
fade=Rayleigh(fdmax);
% fade=Rayleigh_CH2(fdmax);
path1=ones(frameguard,1)*fade(1,[1+5000:numsymb+5000]).*BaseSignal;
path2=ones(frameguard,1)*fade(2,[1+5000:numsymb+5000]).*BaseSignal;
path3=ones(frameguard,1)*fade(3,[1+5000:numsymb+5000]).*BaseSignal;
path4=ones(frameguard,1)*fade(4,[1+5000:numsymb+5000]).*BaseSignal;
path5=ones(frameguard,1)*fade(5,[1+5000:numsymb+5000]).*BaseSignal;
path6=ones(frameguard,1)*fade(6,[1+5000:numsymb+5000]).*BaseSignal;

path01=reshape(path1,1,size(path1,1)*size(path1,2));
path02=reshape(path2,1,size(path2,1)*size(path2,2));
path03=reshape(path3,1,size(path3,1)*size(path3,2));
path04=reshape(path4,1,size(path4,1)*size(path4,2));
path05=reshape(path5,1,size(path5,1)*size(path5,2));
path06=reshape(path6,1,size(path6,1)*size(path6,2));

%the delay is [0 0.31 0.71 1.09 1.73 2.51] us
path11=[path01 zeros(1,10)];    % the largest delay is 10 sample                                                                                                                          
path12=[zeros(1,1) path02 zeros(1,9)];
path13=[zeros(1,3) path03 zeros(1,7) ];
path14=[zeros(1,4) path04 zeros(1,6)];
path15=[zeros(1,7) path05 zeros(1,3)];
path16=[zeros(1,10) path06];
RxSignal0=path11+path12+path13+path14+path15+path16;
RxSignal0=RxSignal0(1:length(path01));

H_real=zeros(ifftsize,numsymb);      % the real channel impulse response
for k=1:ifftsize
    H_real(k,:)=H_real(k,:)+fade(1,[1+5000:numsymb+5000])*exp(-j*2*pi*(k-1)*0/ifftsize)+fade(2,[1+5000:numsymb+5000])*exp(-j*2*pi*(k-1)*1/ifftsize)+...
                            fade(3,[1+5000:numsymb+5000])*exp(-j*2*pi*(k-1)*3/ifftsize)+fade(4,[1+5000:numsymb+5000])*exp(-j*2*pi*(k-1)*4/ifftsize)+...
                            fade(5,[1+5000:numsymb+5000])*exp(-j*2*pi*(k-1)*7/ifftsize)+fade(6,[1+5000:numsymb+5000])*exp(-j*2*pi*(k-1)*10/ifftsize);
end;
H_real1= H_real([29:229],:);
ber1=[];
ber2=[];
ber3=[];
berreal=[];
mse1=[];
mse2=[];
mse3=[];


for SNR=0:4:20
RxSignal=awgn(RxSignal0,10^(SNR/10),'measured',1234,'linear');

%==================
% RECEIVER SECTION
%==================
% remove cyclic prefix
symbwaves=reshape(RxSignal,frameguard,numsymb);
symbwaves = symbwaves(guardtime+1:frameguard,:); % Strip off the guard interval
%fft变换
Yf=fft(symbwaves);
%提取导频数据
	Rec_Pilot=Yf(PilotIndex);
%估计导频处的信道频域响应
	H_Pilot=Rec_Pilot./pilotini;
    H_Pilot=reshape(H_Pilot,Pilot_number,numsymb);
    H_Pilot=abs(H_Pilot);
    Gp=fft(H_Pilot,Pilot_number);
   
    Gp1=Gp(1,:);
    Gp2=Gp(Pilot_number-1:Pilot_number,:);
    Gp3=zeros(201,numsymb);
    Gp3(1,:)=Gp1;
    Gp3(200:201,:)=Gp2;
    H=ifft(Gp3,201);%改进前
    
    %aa=abs(Gp);
    %aa1=aa(2:(Pilot_number-1),:);%18*160
    %bb=sum(aa1)/(Pilot_number-2);%均值
    %bb1=repmat(bb,[(Pilot_number-2) 1]);%18*160
    %cc=sum((aa1-bb1).^2)/(Pilot_number-2);
    cc=var(Gp(2:(Pilot_number-2),:));%1*160
    delta=sqrt(cc/(Pilot_number-3));%1*160
    delta1=repmat(delta,[2 1]);
    Gp10=Gp1-delta;
    Gp20=Gp2-delta1;
    Gp30=zeros(201,numsymb);
    Gp30(1,:)=Gp10;
    Gp30(200:201,:)=Gp20;
    H0=ifft(Gp30,201);%改进后
    
    %ls估计
    X=6:10:196;
    XI=1:201;
    H_ls=INTERP1(X,H_Pilot,XI,'linear','extrap');
    
%计算mse
esterr1=H_ls-H_real1;        % LS estimation error
esterr2=H-H_real1;   
esterr3=H0-H_real1; 
mse1=[mse1,mse(abs(esterr1))]  % Mean Square Error of LS estimation
mse2=[mse2,mse(abs(esterr2))]  % Mean Square Error of LMMSE estimation
mse3=[mse3,mse(abs(esterr3))] 

Rx1=Yf;
Rx2=Yf;
Rx3=Yf;
Rxreal=Yf;
Rx1([29:229],:)=Rx1([29:229],:)./H_ls;
Rx2([29:229],:)=Rx2([29:229],:)./H;
Rx3([29:229],:)=Rx3([29:229],:)./H0;
Rxreal([29:229],:)=Rxreal([29:229],:)./H_real1;
   
DemSig1=Rx1(DataIndex);
DemSig2=Rx2(DataIndex);
DemSig3=Rx3(DataIndex);
DemSigreal=Rxreal(DataIndex); 
DemSignal1=reshape(DemSig1,1,size(DemSig1,1)*size(DemSig1,2));  % complex signal to be de demapped
DemSignal2=reshape(DemSig2,1,size(DemSig2,1)*size(DemSig2,2));
DemSignal3=reshape(DemSig3,1,size(DemSig3,1)*size(DemSig3,2));
DemSignalreal=reshape(DemSigreal,1,size(DemSigreal,1)*size(DemSigreal,2));
%解扩
subsignal1=[];
subsignal2=[];
subsignal3=[];
subsignalreal=[];
for k=1:numusers
    seqnum = seqnumlist(k);
[datarx1, subsignal10] = reccdma(DemSignal1,procgain,seqnum,linktype);
subsignal1=[subsignal1;subsignal10];
[datarx2, subsignal20] = reccdma(DemSignal2,procgain,seqnum,linktype);
subsignal2=[subsignal2;subsignal20];
[datarx3, subsignal30] = reccdma(DemSignal3,procgain,seqnum,linktype);
subsignal3=[subsignal3;subsignal30];
[datarxreal, subsignalreal0]=reccdma(DemSignalreal,procgain,seqnum,linktype);
subsignalreal=[subsignalreal;subsignalreal0];
end;
%去掉映射
Datarx1=invmapping(subsignal1,mapping,wordsize);
Datarx2=invmapping(subsignal2,mapping,wordsize);
Datarx3=invmapping(subsignal3,mapping,wordsize);
Datarxreal=invmapping(subsignalreal,mapping,wordsize);
%计算误码率
ber10=err(Datatx,Datarx1,totalwords,numusers);
ber20=err(Datatx,Datarx2,totalwords,numusers);
ber30=err(Datatx,Datarx3,totalwords,numusers);
berreal0=err(Datatx,Datarxreal,totalwords,numusers);
ber1=[ber1,ber10]
ber2=[ber2,ber20]
ber3=[ber3,ber30]
berreal=[berreal,berreal0]
end
figure
subplot(1,2,1)
k=0:4:20
semilogy(k,ber1,'-r*')
hold on
semilogy(k,ber2,'-rs')
semilogy(k,ber3,'-bx')
semilogy(k,berreal,'-.b')
grid on
axis([0 20 10^(-4) 0.5])
xlabel('SNR/dB'),ylabel('BER')
legend('LS','变换域','改进后','理想')
set (gcf,'color',[1 1 1])
set(gca,'xtick',[0:4:20])
hold off

subplot(1,2,2)
k=0:4:20
semilogy(k,mse1,'-r*')
hold on
semilogy(k,mse2,'-rs')
semilogy(k,mse3,'-ro')
grid on
axis([0 20 10^(-4) 1])
xlabel('SNR/dB'),ylabel('MSE')
legend('LS','变换域','改进后')
set (gcf,'color',[1 1 1])
set(gca,'xtick',[0:4:20])
hold off

toc