Pls help me spot errors in the code..I don't get a decaying BER
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clc;
clear all;
close all;
%input
M=1024;
nt=2;
nr=1;
L=65;
%Generate random data
m=4;
msg1=randint(M,1,m);
msg2=randint(M,1,m);
msg=vertcat(msg1,msg2);
% QPSK modulation
qpsk_modulated_data1=pskmod(msg1,m);
qpsk_modulated_data2=pskmod(msg2,m);
%IFFT
x1=ifft(qpsk_modulated_data1);
x2=ifft(qpsk_modulated_data2);
x=vertcat(x1,x2);
%channel
temp=randsrc(1,L-1);
temp=[temp zeros(1,960)];
temp1=transpose(temp);
h1=gallery('circul',temp1);
h1=h1';
temp2=randsrc(1,L-1);
temp2=[temp2 zeros(1,960)];
temp3=transpose(temp2);
h2=gallery('circul',temp3);
h2=h2';
h=horzcat(h1,h2);
%r
r=h*x;
%--- Joint estimation of channel response and I/Q imbalance
%ek
e=eye(M);
%y due to cfo
y=e*r;
y1=conj(y);
%z due to cfo and i/q
u=(1+exp(-j*10))/2;
u1=conj(u);
v=(1-exp(j*10))/2;
z=(u*y)+(v*y1);
z1=conj(z);
%a
a=(v/u1);
%ur
a1=abs(a)^2;
e1=conj(e);
ur=(e1*(z-(a*z1))/(1-a1));
%p
p=M/nt;
%MIMO channel response
a1=randn(M,L);
a2=randn(M,L);
A=horzcat(a1,a2);
a11=randn(M,p-L);
a22=randn(M,p-L);
B=horzcat(a1,a11,a2,a22);
B1=inv(B);
ud=B1*ur;
%CRE
q = M-(L*nt);
P = zeros(q,M);
P(:,2:2:end) = (p-L)*eye(q,M/2);
cre=norm(P*ud)^2;
CRE =norm(P*B1*(z-(a*z1)))^2;
%I/Q_imbalance
o=ctranspose(P*B1*z1); %traspose_conj of p*B1*z1
aopt=(o*(P*B1*z))/(norm(P*B1*z1))^2;
%channel response
aopt1=abs(aopt)^2;
cha_res=B1*(z-(aopt*z1))/(1-aopt1);
%--------------------------------------------------
%fft
fft_recdata=fft(r);
%Demodulate the data
qpsk_demodulated_data = pskdemod(fft_recdata,M);
%estimated signal
est_sgl=r*cha_res';
%calculating BER
errors=0;
snr=0:1:35;
for k=1:length(snr)
for i=1:M
if est_sgl(i) ~= msg(i)
errors=errors+1;
end
end
ber(k)=errors/M;
Q=sort(ber,'descend');
end
figure(1)
semilogy(smooth(snr),smooth(Q));
title('BER vs SNR');
ylabel('BER');
xlabel('SNR');
Antworten (1)
Walter Roberson
am 22 Mär. 2012
0 Stimmen
The problem is the same as I told you before more than once: you are not recalculating your noise signal as you change your snr, so your number of errors is coming out constant for each snr.
12 Kommentare
Janet
am 22 Mär. 2012
Janet
am 22 Mär. 2012
Walter Roberson
am 22 Mär. 2012
Have you considered zeroing "errors" for each snr, so that your error count does not accumulate between different SNR?
Janet
am 22 Mär. 2012
Walter Roberson
am 22 Mär. 2012
for snr=0:1:35
errors = 0; %HERE HERE HERE HERE HERE
for i=1:1:128
<etc>
Janet
am 22 Mär. 2012
Oleg Komarov
am 22 Mär. 2012
Janet, please read again Walter's comments. Carefully this time.
Janet
am 22 Mär. 2012
Janet
am 22 Mär. 2012
Walter Roberson
am 22 Mär. 2012
Fixing *only* the most immediate problem:
snr = 0:1:35
for k = 1:length(snr)
errors = 0; %THIS GOES HERE
for i = 1 : M
if est_sig(i) ~= msg(i)
errors = errors + 1;
end
ber(k)=errors/M;
%GET RID OF Q HERE
end
figure(1)
semilogy(smooth(snr),smooth(ber)); %NO NOT Q
title('BER vs SNR');
ylabel('BER');
xlabel('SNR');
Do *not* go around sorting your BER: the results you produce will be near meaningless.
But the key point for now is that errors has to be initialized to 0 for *each* snr value.
WARNING: This will only take you as far as showing you that you are getting a completely flat BER graph. The above corrections do not attempt to fix your fundamental problem with your BER calculation that you are failing to change your est_sgl according to the "current" snr.
Janet
am 23 Mär. 2012
Janet
am 26 Mär. 2012
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