adaptive antennas LMS algorithm

Question

yousef Yousef on 9 Jun 2014

0
Link

Direct link to this question

https://www.mathworks.com/matlabcentral/answers/133340-adaptive-antennas-lms-algorithm

Commented: Teketel Detebo on 2 Jan 2022

I'm looking for Matlab codes for LMS and RLS Algorithms in Smart Antenna Technology if you have any ,please post it to me. Thanks

5 Comments
Show 3 older commentsHide 3 older comments

yousef Yousef on 9 Jun 2014

   =1;   % normalized frequency
    C=3e8;
    Landa=C/f;
    d=Landa/2;
    PETA=2*pi/Landa;
    N=8;
    n_b=1000 ; % number of samples
    n=linspace(0,2*pi/f,n_b);
    thetad=0 ; %AoA
    theta_d=thetad*pi/180;
    Ad=exp(-j*PETA*d*sin(theta_d)*[0:N-1])';  %steering vector for the desired signal
    msg = randi(1,n_b); % Random binary data stream
    Vs=1;  
    s =Vs* pskmod(msg,2); %BPSK modulation
    SNR=10; % channel SNR
    S=Ad*s;  % received signal by the array; matrix N by n_b
    x = awgn(S,SNR) ;
    W_LMS=zeros(N,1);  %Intial weight vector
    Mu=0.05; %step size
    %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
        for K=1:100
            X=x(:,K);  
            D=s(K);% reference signal
            e_LMS(K)=D-W_LMS'*X; %error signal
            W_LMS=W_LMS+Mu*X*conj(e_LMS(K)); %generated weight vector
        end
     theta = -pi/2:.01:pi/2;
    AF = zeros(1,length(theta));
    w=W_LMS;
    N=8;
    for i = 1:N
     AF = AF + w(i)'.*exp(1j*(i-1)*2*pi*d*sin(theta));
    end
     w = (w./w(1));
    figure
    plot(theta*180/pi,abs(AF)/max(abs(AF)),'k')
    plot(theta*180/pi,abs(AF)/max(abs(AF)),'k')
    xlabel('AOA (deg)')
    ylabel('|AF_n|')
    axis([-90 90 0 1.1])
    set(gca,'xtick',[-90 -60 -30 0 30 60 90])
  the world is very lucky that there are not  too many people like you