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nlms output graphs not coming correctly. what is the problem in the code ?? given inputs a). 20 b). 40 c). -20

1 Ansicht (letzte 30 Tage)
d = .5;
N=6;
thetaS = input(' What is the desired users AOA (in degrees)? ');
thetaI = input(' What is the 1st interferers AOA(in degrees)? ');
thetaIs = input(' What is the 2nd interferers AOA(in degrees)? ');
T=1E-3;
t=(1:100)*T/100;
it=1:100;
S=cos(2*pi*t/T);
thetaS = thetaS*pi/180; % desired user AOA
I = randn(1,100);
thetaI = thetaI*pi/180; % interferer AOA
Is = randn(1,100);
thetaIs = thetaIs*pi/180; % interferer AOA
a = 0.001;
vS = []; vI = []; vIs = [];
i=1:N;
vS=exp(1j*(i-1)*2*pi*d*sin(thetaS)).';
vI=exp(1j*(i-1)*2*pi*d*sin(thetaI)).';
vIs=exp(1j*(i-1)*2*pi*d*sin(thetaIs)).';
w = zeros(N,1); snr = 10; % signal to noise ratio
X=(vS+vI+vIs);
Rx=X*X';
mu=1/(4*real(trace(Rx)))
wi=zeros(N,max(it));
for n = 1:length(S)
x = S(n)*vS + I(n)*vI + Is(n)*vIs;
%y = w*x.';
y=w'*x;
e = conj(S(n)) - y; esave(n) = abs(e)^2;
w = w + mu/(0.001+x'*x) * x.* conj(e) ;
wi(:,n)=w;
yy(n)=y;
end
w = (w./w(1)); % normalize results to first weight
theta = -pi/2:.01:pi/2;
AF_3 = zeros(1,length(theta));
for i = 1:N
AF_3 = AF_3 + w(i)'.*exp(1j*(i-1)*2*pi*d*sin(theta));
end
figure;
plot(it,S,'k',it,yy,'k--')
xlabel('No. of Iterations')
ylabel('Signals')
legend('Desired signal','Array output')
title('NLMS');
disp('%------------------------------------------------------------------------%')
disp(' ')
disp([' The weights for the N = ',num2str(N),' ULA are:'])
disp(' ')
for m = 1:length(w)
disp([' w',num2str(m),' = ',num2str(w(m))])
end
disp(' ')
figure;plot(it,abs(wi(1,:)),'kx',it,abs(wi(2,:)),'ko',it,abs(wi(3,:)),'ks',it,abs(wi(4,:)),'k+',it,abs(wi(5,:)),'kd','markersize',2)
xlabel('Iteration no.')
ylabel('|weights|')
title('NLMS');
figure;
plot(it,esave,'k')
xlabel('Iteration no.')
ylabel('Mean square error')
title('NLMS');
%---------------------------------------------------------------------%

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