hello,

i am doing my project in adaptive beamforming algorithms in smart antennas
comparing LMS and NLMS.

i have plotted the output beamformer polar pattern and able to calulate the
weights

however am not able to analyse the errors in learning curves. this are my
codes..

CAN ANY ONE HELP ME OUT IN HOW HOW TO ANALYSE ERRORS AND SINR...

[ AM NOT WRITING WHOLE CODES JUST PART OF IT]

FOR STEERING VECTOR vS=exp(1j*(i-1)*2*pi*d*sin(thetaS))

w = zeros(M,1);

for snr = 10; % signal to noise ratio

X=(vS+vI);

Rx=(X*X'); % correlation matrix..

Rn = awgn(Rx,snr);

end

mu=1/(2*real(trace(Rx))) % mu = input('What is step size?')

wi=zeros(M,max(it));

for n = 1:length(S) % selecting the training inputs

x = S(n)*vS + I(n)*vI;

y=w'*x; % y = w*x.

e = conj(S(n)) - y ;

esave(n) = (abs(e)^2);

w=w+mu*conj(e)*x; % w = w +mu*e*conj(x) calculating the
------WEIGHT----

wi(:,n)=w;

yy(n)=y;

end

w = (w./w(1));

can any please help me out..??