c14_threeray.m

在matlab下实现多径信道仿真

% File: c14_threeray.m
% Software given here is to accompany the textbook: W.H. Tranter, 
% K.S. Shanmugan, T.S. Rappaport, and K.S. Kosbar, Principles of 
% Communication Systems Simulation with Wireless Applications, 
% Prentice Hall PTR, 2004.
%
% Default parameters
% 
NN = 256;								% number of symbols
tb = 0.5;								% bit time
fs = 16;                                % samples/symbol
ebn0db = [1:2:14];						% Eb/N0 vector
%
% Establish QPSK signals
%
x = random_binary(NN,fs)+i*random_binary(NN,fs);   % QPSK signal
%
% Input powers and delays
%
p0 = input('Enter P0 > ');
p1 = input('Enter P1 > ');
p2 = input('Enter P2 > ');
delay = input('Enter tau > ');
delay0 = 0; delay1 = 0; delay2 = delay;
%
% Set up the Complex Gaussian (Rayleigh) gains
%
gain1 = sqrt(p1)*abs(randn(1,NN) + i*randn(1,NN));
gain2 = sqrt(p2)*abs(randn(1,NN) + i*randn(1,NN));
for k = 1:NN
   for kk=1:fs
      index=(k-1)*fs+kk;
      ggain1(1,index)=gain1(1,k);
      ggain2(1,index)=gain2(1,k);
   end
end
y1 = x;
for k=1:delay2 
   y2(1,k) = y1(1,k)*sqrt(p0);
end
for k=(delay2+1):(NN*fs)
   y2(1,k)= y1(1,k)*sqrt(p0) + ...
             y1(1,k-delay1)*ggain1(1,k)+...
             y1(1,k-delay2)*ggain2(1,k);
end
%
% Matched filter
%
b = ones(1,fs); b = b/fs; a = 1;
y = filter(b,a,y2);
%
% End of simulation 
%
% Use the semianalytic BER estimator. The following sets 
% up the semi analytic estimator. Find the maximum magnitude 
% of the cross correlation and the corresponding lag.
%
[cor lags] = vxcorr(x,y);
[cmax nmax] = max(abs(cor));
timelag = lags(nmax);
theta = angle(cor(nmax))
y = y*exp(-i*theta);     								% derotate 
%
% Noise BW calibration
%
hh = impz(b,a); ts = 1/16; nbw = (fs/2)*sum(hh.^2);
%
% Delay the input, and do BER estimation on the last 128 bits. 
% Use middle sample. Make sure the index does not exceed number 
% of input points. Eb should be computed at the receiver input. 
%
index = (10*fs+8:fs:(NN-10)*fs+8);
xx = x(index);
yy = y(index-timelag+1);
[n1 n2] = size(y2); ny2=n1*n2;
eb = tb*sum(sum(abs(y2).^2))/ny2;
eb = eb/2;
[peideal,pesystem] = qpsk_berest(xx,yy,ebn0db,eb,tb,nbw);
figure
semilogy(ebn0db,peideal,'b*-',ebn0db,pesystem,'r+-')
xlabel('E_b/N_0 (dB)'); ylabel('Probability of Error'); grid
axis([0 14 10^(-10) 1])
% End of script file.