📄 main.m
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clear all;
close all;
SNRindB = 0:1:30;
S = (1/sqrt(16))*randsrc(16,10,[1 -1]);
R = S'*S;
Rinv = pinv(R);
B = randsrc(10,5000,[1 -1]);
h = rayleighchan(1e-4,0);
for i=1:31,
[errprb(i,1) errprb(i,2) errprb(i,3)] = mud(SNRindB(i),S,B,Rinv,R,h); % calling function to get error
%[errprbA(i,1) errprbA(i,2)] = Adapt_mud(SNRindB(i),S,B);
errprb
end;
errprb
figure;semilogy(SNRindB,errprb(:,1),'-r*',SNRindB,errprb(:,2),'-bo',SNRindB,errprb(:,3),'-.c');
h = legend('Matched Filters','Decorrelator','Static MMSE',2);
grid on;axis([0 30 .0001 10]) % plotting by talking y axis as log scale
xlabel('SNR(dB)');
ylabel('BER');
%figure;semilogy(SNRindB,errprbA(:,1),'-r*',SNRindB,errprbA(:,2),'-bo');
%h = legend('Adaptive MF MMSE','Adaptive MMSE',2);
%grid on;axis([0 30 .0001 10]) % plotting by talking y axis as log scale
%xlabel('SNR(dB)');
%ylabel('BER');
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