As a first example we will generate a sequence of 500000 random bits {0,1} and BPSK modulate these. Thereafter the BPSK signals will be transmitted over an AWGN channel with a signal-to-noise ratio dB. The received signal is then decoded and the number of bit errors are calculated.
using namespace itpp;
using std::cout;
using std::endl;
int main()
{
int N;
double N0;
bvec bits, dec_bits;
vec symbols, rec;
N = 500000;
N0 = 1;
berc.
count(bits, dec_bits);
cout <<
"There were " << berc.
get_errors() <<
" received bits in error." << endl;
cout <<
"There were " << berc.
get_corrects() <<
" correctly received bits." << endl;
cout <<
"The error probability was " << berc.
get_errorrate() << endl;
cout <<
"The theoretical error probability is " << 0.5*
erfc(1.0) << endl;
return 0;
}
When you run this program, the output will look something like this:
There were 39224 received bits in error.
There were 460776 correctly received bits.
The error probability was 0.078448
The theoretical error probability is 0.0786496