sim_bpsk.m

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% Simulate the performance of binary modulation (BPSK) and compare it with
% the theoretical expression of the probability of a bit error. (This script
% needs the file 'Q.m' which is also available in the web site.)
% 
% This program is complementary material for the book: The Art of Error 
% Correcting Coding, R.H. Morelos-Zaragoza, 2nd ed., Wiley, 2006.
% ISBN: 0470 01558 6
%
% This and other programs are available at http://the-art-of-ecc.com
%
% You may use this program for academic and personal purposes only. 
% If this program is used to perform simulations whose results are 
% published in a journal or book, please refer to the book above.
%
% The use of this program in a commercial product requires explicit
% written permission from the author. The author is not responsible or 
% liable for damage or loss that may be caused by the use of this program. 
%
% Copyright (c) 2006. Robert H. Morelos-Zaragoza. All rights reserved.

clear                           % Clear all variables in Matlab's workspace

seed = 75291;                           % This allows to reproduce results
rand('state',seed)
randn('state',seed)

Nsim = 1000000;                         % Number of simulated bits
i = 1;                                  % Index for array of results
P0 = 1/2;                               % Probability of bit = "0"

for EsNo=0:1:10                         % Loop over energy-to-noise ratio
    error = 0;                          % Error counter
    for n = 1:Nsim
        No = 10^(-EsNo/10);
        sigma= sqrt(No/2);              % Standard deviation of the AWGN
        if (rand < P0), M = 0;          % Generate a random bit
        else            M = 1;  end
        A = (-1)^M;                     % Mapping: "0" --> 1, "1" --> -1
        Y = A + sigma*randn;            % Add noise to transmitted symbol
        if Y > 0,       Mhat = 0;       % Decision device
        else            Mhat = 1;  end
        if Mhat ~= M,   error = error+1;   end   % Count errors, if any
    end % Nsim
    
    snr(i) = EsNo;
    ber(i) = error/Nsim;
    fprintf('%3.1f \t %10.7e\n', snr(i), ber(i));
    i = i + 1;
        
end % EsNo

% Theoretical bir error probability of BPSK modulation
perr = Q(sqrt(2*10.^(snr/10)));

% Plotting commands
figure(1)
semilogy(snr,ber,'-*r')
hold on
semilogy(snr,perr,'-ob')
legend('Simulated','Theory');
title('Error performance of binary transimission over an AWGN channel');
xlabel('E_b/N_0 (dB)');
ylabel('Bit error rate');
grid on
hold off