dcma_mud.m

这是盲信号的代码 都已经通过编译了 做这方面的同仁可以参考一下 我觉得蛮惯用的

function SINR=dcma_mud()
%
%2005.12.7
%加载数据
load goldseq;
load bs;
%gold码归一化
goldseq = 1/sqrt(31)*goldseq;
%期望用户扩频序列
s1=goldseq(1,:)';
s2=goldseq(2,:)';
s3=goldseq(3,:)';
s4=goldseq(4,:)';
s5=goldseq(5,:)';
s6=goldseq(6,:)';

A2=10;
A3=10;
A4=10;
A5=10;
A6=10;

w=s1;
u=10^-4;
N=length(s1);
P=eye(N)-s1*s1';
x=zeros(N,1);



r1=goldseq(1,:)'*b(1,:);
r2=goldseq(2,:)'*b(2,:);
r3=goldseq(3,:)'*b(3,:);
r4=goldseq(4,:)'*b(4,:);
r5=goldseq(5,:)'*b(5,:);
r6=goldseq(6,:)'*b(6,:);

r=r1+A2*r2+A3*r3+A4*r4+A5*r5+A6*r6;
%r=r1+r2+r3+r4+r5+r6;
SNR=20;
r=awgn(r,SNR);
y2=s1'*r(:,1);
for i=1:1000
    y=w'*r(:,i);
    x=x-u*(abs(y)^2-abs(y2)^2)*y*r(:,i);
    y2=y;
    w=s1+P*x;
    %n=w'*s2+w'*s3+w'*s4+w'*s5+w'*s6+0.1*norm(w);
    n=(A2*w'*s2)^2+(A3*w'*s3)^2+(A4*w'*s4)^2+(A5*w'*s5)^2+(A6*w'*s6)^2+w'*0.01*w;
    %n=(w'*s2)^2+(w'*s3)^2+(w'*s4)^2+(w'*s5)^2+(w'*s6)^2+0.1*norm(w);
    SINR(i)=((w'*s1)^2)/n;
%SINR(i)=((w'*s1)^2)/(var(w'*X));
end
i=1:1000;
plot(i,10*log10(SINR));
xlabel('迭代次数');
ylabel('信号干扰噪声比SINR(dB)');
title('多用户检测差分恒模算法');