基于自适应波束成形算法的matlab性能仿真,对比SG和RLS两种方法

1.程序功能描述

2.测试软件版本以及运行结果展示

3.核心程序

4.本算法原理

5.完整程序

1.程序功能描述

基于自适应波束成形算法的matlab性能仿真,对比SG和RLS两种方法.

2.测试软件版本以及运行结果展示

MATLAB2022a版本运行

3.核心程序

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for ii = 1:MTKL  if SEL == 1for i = 1:length(r)r_(:,i) = SD'*r(:,i);A_      = SD'*a;%xx : x*x_(i)   = W_'*r_(:,i);xx(i)   = conj(x_(i));%开始迭代if i == 1 W_ = SD'*(inv(R)*a*inv((a'*inv(R)*a))*e);SD = SD - mu1*xx(i)*(r(:,i)*W_' - inv(a' *a )*(a*W_')*(a'*r(:,i)));elseSD = SD - mu1*xx(i)*(r(:,i)*W_' - inv(a' *a )*(a*W_')*(a'*r(:,i)));W_ = W_ - mu2*xx(i)*(eye(D)     - inv(A_'*A_)*A_*A_') *r_(:,i);endrx      = corrmtx(a*Sig_train(:,i),M-1);RS      = rx'*rx;rx      = corrmtx(a*Sig_train(:,i),M-1);ry      = corrmtx(a*Sig_train(:,i)+Noise_train(:,i),M-1);RI      = rx'*ry;endSINR(D) = abs((W_'*SD'*RS*SD*W_)/(W_'*SD'*RI*SD*W_));  end%**************************************************************************%RLS***********************************************************************if SEL == 2alpha = 1;P     = zeros(M,M);P_    = zeros(D,M);for i = 1:length(r)r_(:,i) = SD'*r(:,i);Pdelay  = P;P       = inv(R);A_      = SD'*a;P_delay = P_;P_      = SD'*P;SD      = (P*a*A_')/(a'*P*a);W_      = (P_*a)/(A_'*P_*a);k       = alpha*Pdelay*r(:,i)/(1+alpha*r(:,i)'*Pdelay*r(:,i));P       = alpha*Pdelay-alpha*k*r(:,i)'*Pdelay;  rx      = corrmtx(a*Sig_train(:,i),31);RI      = rx'*rx;rx      = corrmtx(a*Sig_train(:,i),31);ry      = corrmtx(a*Sig_train(:,i)+Noise_train(:,i),31);RS      = rx'*ry;end  SINR(D) = abs((W_'*SD'*RI*SD*W_)/(W_'*SD'*RS*SD*W_));endendSINRs(:,ii) = SINR;
endDD     = D3(4:end);
SINRS2 = 20*log10(mean(SINRs(4:end,:),2));
figure;
plot(DD,SINRS2,'b-o');
grid on;
xlabel('Rank')
ylabel('SINR');
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