int main(void)
{
//general parameters
double threshold_value = 10;
string map_metric="maxlogMAP";
ivec gen = "07 05";//octal form, feedback first
int constraint_length = 3;
int nb_errors_lim = 3000;
int nb_bits_lim = int(1e6);
int perm_len = (1<<14);//total number of bits in a block (with tail)
int nb_iter = 10;//number of iterations in the turbo decoder
vec EbN0_dB = "0:0.1:5";
double R = 1.0/3.0;//coding rate (non punctured PCCC)
double Ec = 1.0;//coded bit energy
//other parameters
int nb_bits = perm_len-(constraint_length-1);//number of bits in a block (without tail)
vec sigma2 = (0.5*Ec/R)*pow(inv_dB(EbN0_dB), -1.0);//N0/2
double Lc;//scaling factor
int nb_blocks;//number of blocks
int nb_errors;
ivec perm(perm_len);
ivec inv_perm(perm_len);
bvec bits(nb_bits);
int cod_bits_len = perm_len*gen.length();
bmat cod1_bits;//tail is added
bvec tail;
bvec cod2_input;
bmat cod2_bits;
int rec_len = int(1.0/R)*perm_len;
bvec coded_bits(rec_len);
vec rec(rec_len);
vec dec1_intrinsic_coded(cod_bits_len);
vec dec2_intrinsic_coded(cod_bits_len);
vec apriori_data(perm_len);//a priori LLR for information bits
vec extrinsic_coded(perm_len);
vec extrinsic_data(perm_len);
bvec rec_bits(perm_len);
int snr_len = EbN0_dB.length();
mat ber(nb_iter,snr_len);
ber.zeros();
register int en,n;
//Recursive Systematic Convolutional Code
Rec_Syst_Conv_Code cc;
cc.set_generator_polynomials(gen, constraint_length);//initial state should be the zero state
//BPSK modulator
BPSK bpsk;
//AWGN channel
AWGN_Channel channel;
//SISO modules
SISO siso;
siso.set_generators(gen, constraint_length);
siso.set_map_metric(map_metric);
//BER
BERC berc;
//Randomize generators
RNG_randomize();
//main loop
for (en=0;en<snr_len;en++)
{
cout << "EbN0_dB = " << EbN0_dB(en) << endl;
channel.set_noise(sigma2(en));
Lc = -2/sigma2(en);//normalisation factor for intrinsic information (take into account the BPSK mapping)
nb_errors = 0;
nb_blocks = 0;
while ((nb_errors<nb_errors_lim) && (nb_blocks*nb_bits<nb_bits_lim))
{
//permutation
perm = sort_index(randu(perm_len));
//inverse permutation
inv_perm = sort_index(perm);
//bits generation
bits = randb(nb_bits);
//parallel concatenated convolutional code
cc.encode_tail(bits, tail, cod1_bits);//tail is added here to information bits to close the trellis
cod2_input = concat(bits, tail);
cc.encode(cod2_input(perm), cod2_bits);
for (n=0;n<perm_len;n++)//output with no puncturing
{
coded_bits(3*n) = cod2_input(n);//systematic output
coded_bits(3*n+1) = cod1_bits(n,0);//first parity output
coded_bits(3*n+2) = cod2_bits(n,0);//second parity output
}
//BPSK modulation (1->-1,0->+1) + AWGN channel
rec = channel(bpsk.modulate_bits(coded_bits));
//form input for SISO blocks
for (n=0;n<perm_len;n++)
{
dec1_intrinsic_coded(2*n) = Lc*rec(3*n);
dec1_intrinsic_coded(2*n+1) = Lc*rec(3*n+1);
dec2_intrinsic_coded(2*n) = 0.0;//systematic output of the CC is already used in decoder1
dec2_intrinsic_coded(2*n+1) = Lc*rec(3*n+2);
}
//turbo decoder
apriori_data.zeros();//a priori LLR for information bits
for (n=0;n<nb_iter;n++)
{
//first decoder (terminated trellis)
siso.rsc(extrinsic_coded, extrinsic_data, dec1_intrinsic_coded, apriori_data, true);
//interleave
apriori_data = extrinsic_data(perm);
//threshold
apriori_data = SISO::threshold(apriori_data, threshold_value);
//second decoder (unterminated trellis)
siso.rsc(extrinsic_coded, extrinsic_data, dec2_intrinsic_coded, apriori_data);
//decision
apriori_data += extrinsic_data;//a posteriori information
rec_bits = bpsk.demodulate_bits(-apriori_data(inv_perm));//take into account the BPSK mapping
//count errors
berc.clear();
berc.count(bits, rec_bits.left(nb_bits));
ber(n,en) += berc.get_errorrate();
//deinterleave for the next iteration
apriori_data = extrinsic_data(inv_perm);
}//end iterations
nb_errors += int(berc.get_errors());//get number of errors at the last iteration
nb_blocks++;
}//end blocks (while loop)
//compute BER over all tx blocks
ber.set_col(en, ber.get_col(en)/nb_blocks);
}
it_file ff("pccc_bersim_awgn.it");
ff << Name("EbN0_dB") << EbN0_dB;
ff << Name("BER") << ber;
ff.close();
return 0;
}
int main(void)
{
//general parameters
double threshold_value = 50;
string map_metric="logMAP";
ivec gen = "037 021";//octal form
int constraint_length = 5;
int nb_errors_lim = 1500;
int nb_bits_lim = int(1e6);
int perm_len = pow2i(14);//permutation length
int nb_iter = 10;//number of iterations in the turbo decoder
vec EbN0_dB = "0:0.1:5";
double R = 1.0/4.0;//coding rate (non punctured SCCC)
double Ec = 1.0;//coded bit energy
//other parameters
string filename = "Res/sccc_"+map_metric+".it";
int nb_bits_tail = perm_len/gen.length();
int nb_bits = nb_bits_tail-(constraint_length-1);//number of bits in a block (without tail)
vec sigma2 = (0.5*Ec/R)*pow(inv_dB(EbN0_dB), -1.0);//N0/2
double Lc;//scaling factor for intrinsic information
int nb_blocks;//number of blocks
int nb_errors;
bvec bits(nb_bits);//data bits
bvec nsc_coded_bits;//tail is added
bmat rsc_parity_bits;
ivec perm(perm_len);
ivec inv_perm(perm_len);
int rec_len = gen.length()*perm_len;
bvec coded_bits(rec_len);
vec rec(rec_len);
//SISO RSC
vec rsc_intrinsic_coded(rec_len);
vec rsc_apriori_data(perm_len);
vec rsc_extrinsic_coded;
vec rsc_extrinsic_data;
//SISO NSC
vec nsc_intrinsic_coded(perm_len);
vec nsc_apriori_data(nb_bits_tail);
nsc_apriori_data.zeros();//always zero
vec nsc_extrinsic_coded;
vec nsc_extrinsic_data;
//decision
bvec rec_bits(nb_bits_tail);
int snr_len = EbN0_dB.length();
mat ber(nb_iter,snr_len);
ber.zeros();
register int en,n;
//Non recursive non Systematic Convolutional Code
Convolutional_Code nsc;
nsc.set_generator_polynomials(gen, constraint_length);
//Recursive Systematic Convolutional Code
Rec_Syst_Conv_Code rsc;
rsc.set_generator_polynomials(gen, constraint_length);//initial state should be the zero state
//BPSK modulator
BPSK bpsk;
//AWGN channel
AWGN_Channel channel;
//SISO blocks
SISO siso;
siso.set_generators(gen, constraint_length);
siso.set_map_metric(map_metric);
//BER
BERC berc;
//Progress timer
tr::Progress_Timer timer;
timer.set_max(snr_len);
//Randomize generators
RNG_randomize();
//main loop
timer.progress(0.0);
for (en=0;en<snr_len;en++)
{
channel.set_noise(sigma2(en));
Lc = -2.0/sigma2(en);//take into account the BPSK mapping
nb_errors = 0;
nb_blocks = 0;
while ((nb_errors<nb_errors_lim) && (nb_blocks*nb_bits<nb_bits_lim))//if at the last iteration the nb. of errors is inferior to lim, then process another block
{
//permutation
perm = sort_index(randu(perm_len));
//inverse permutation
inv_perm = sort_index(perm);
//bits generation
bits = randb(nb_bits);
//serial concatenated convolutional code
nsc.encode_tail(bits, nsc_coded_bits);//tail is added here to information bits to close the trellis
nsc_coded_bits = nsc_coded_bits(perm);//interleave
rsc.encode(nsc_coded_bits, rsc_parity_bits);//no tail added
for(n=0;n<perm_len;n++)
{
coded_bits(2*n) = nsc_coded_bits(n);//systematic output
coded_bits(2*n+1) = rsc_parity_bits(n,0);//parity output
}
//BPSK modulation (1->-1,0->+1) + channel
rec = channel(bpsk.modulate_bits(coded_bits));
//turbo decoder
rsc_intrinsic_coded = Lc*rec;//intrinsic information of coded bits
rsc_apriori_data.zeros();//a priori LLR for information bits
for (n=0;n<nb_iter;n++)
{
//first decoder
siso.rsc(rsc_extrinsic_coded, rsc_extrinsic_data, rsc_intrinsic_coded, rsc_apriori_data, false);
//deinterleave+threshold
nsc_intrinsic_coded = threshold(rsc_extrinsic_data(inv_perm), threshold_value);
//second decoder
siso.nsc(nsc_extrinsic_coded, nsc_extrinsic_data, nsc_intrinsic_coded, nsc_apriori_data, true);
//decision
rec_bits = bpsk.demodulate_bits(-nsc_extrinsic_data);//suppose that a priori info is zero
//count errors
berc.clear();
berc.count(bits, rec_bits.left(nb_bits));
ber(n,en) += berc.get_errorrate();
//interleave
rsc_apriori_data = nsc_extrinsic_coded(perm);
}//end iterations
nb_errors += int(berc.get_errors());//get number of errors at the last iteration
nb_blocks++;
}//end blocks (while loop)
//compute BER over all tx blocks
ber.set_col(en, ber.get_col(en)/nb_blocks);
//show progress
timer.progress(1+en);
}
timer.toc_print();
#ifdef TO_FILE
//save results to file
it_file ff(filename);
ff << Name("BER") << ber;
ff << Name("EbN0_dB") << EbN0_dB;
ff << Name("gen") << gen;
ff << Name("R") << R;
ff << Name("nb_iter") << nb_iter;
ff << Name("total_nb_bits") << nb_bits;
ff << Name("nb_errors_lim") << nb_errors_lim;
ff << Name("nb_bits_lim") << nb_bits_lim;
ff.close();
#else
//show BER
cout << ber << endl;
#endif
return 0;
}
int main(void)
{
//general parameters
double threshold_value = 50;
string map_metric = "maxlogMAP";
ivec gen = "07 05";//octal notation
int constraint_length = 3;
int ch_nb_taps = 4;//number of channel multipaths
int nb_errors_lim = 3000;
int nb_bits_lim = int(1e6);
int perm_len = pow2i(14);//permutation length
int nb_iter = 10;//number of iterations in the turbo decoder
vec EbN0_dB = "0:0.5:10";
double R = 1.0 / 2.0;//coding rate of FEC
double Ec = 1.0;//coded bit energy
#ifdef USE_PRECODER
ivec prec_gen = "03 02";//octal notation
int prec_gen_length = 2;
#endif
//other parameters
int nb_bits_tail = perm_len / gen.length();
int nb_bits = nb_bits_tail - (constraint_length - 1);//number of bits in a block (without tail)
vec sigma2 = (0.5 * Ec / R) * pow(inv_dB(EbN0_dB), -1.0);//N0/2
int nb_blocks;//number of blocks
int nb_errors;
bvec bits(nb_bits);//data bits
bvec nsc_coded_bits(perm_len);//tail is added
bvec em_bits(perm_len);
bmat parity_bits;
ivec perm(perm_len);
ivec inv_perm(perm_len);
vec rec(perm_len);
//SISO equalizer
vec eq_apriori_data(perm_len);
vec eq_extrinsic_data;
//SISO NSC
vec nsc_intrinsic_coded(perm_len);
vec nsc_apriori_data(nb_bits_tail);
nsc_apriori_data.zeros();//always zero
vec nsc_extrinsic_coded;
vec nsc_extrinsic_data;
//decision
bvec rec_bits(nb_bits_tail);
int snr_len = EbN0_dB.length();
mat ber(nb_iter, snr_len);
ber.zeros();
register int en, n;
//CCs
Convolutional_Code nsc;
nsc.set_generator_polynomials(gen, constraint_length);
#ifdef USE_PRECODER
Rec_Syst_Conv_Code prec;
prec.set_generator_polynomials(prec_gen, prec_gen_length);
#endif
//BPSK
BPSK bpsk;
//AWGN
AWGN_Channel awgn;
//multipath channel impulse response (Rayleigh fading) with real coefficients
vec ch_imp_response(ch_nb_taps);
vec ini_state = ones(ch_nb_taps);//initial state is zero
MA_Filter<double, double, double> multipath_channel;
//SISO blocks
SISO siso;
siso.set_generators(gen, constraint_length);
siso.set_map_metric(map_metric);
#ifdef USE_PRECODER
siso.set_precoder_generator(prec_gen(0), prec_gen_length);
#endif
//BER
BERC berc;
//Randomize generators
RNG_randomize();
//main loop
for (en = 0;en < snr_len;en++) {
cout << "EbN0_dB = " << EbN0_dB(en) << endl;
awgn.set_noise(sigma2(en));
siso.set_noise(sigma2(en));
nb_errors = 0;
nb_blocks = 0;
while ((nb_errors < nb_errors_lim) && (nb_blocks*nb_bits < nb_bits_lim))//if at the last iteration the nb. of errors is inferior to lim, then process another block
{
//permutation
perm = sort_index(randu(perm_len));
//inverse permutation
inv_perm = sort_index(perm);
//bits generation
bits = randb(nb_bits);
//convolutional code
nsc.encode_tail(bits, nsc_coded_bits);//tail is added here to information bits to close the trellis
//permutation
em_bits = nsc_coded_bits(perm);
#ifdef USE_PRECODER
//precoder
prec.encode(em_bits, parity_bits);
em_bits = parity_bits.get_col(0);
#endif
//BPSK modulation (1->-1,0->+1) + multipath channel
ch_imp_response = randray(ch_nb_taps);
ch_imp_response /= sqrt(sum_sqr(ch_imp_response));//normalized power profile
multipath_channel.set_coeffs(ch_imp_response);
multipath_channel.set_state(ini_state);//inital state is zero
rec = awgn(multipath_channel(bpsk.modulate_bits(em_bits)));
//turbo equalizer
eq_apriori_data.zeros();//a priori information of emitted symbols
siso.set_impulse_response(ch_imp_response);
for (n = 0;n < nb_iter;n++)
{
//first decoder
siso.equalizer(eq_extrinsic_data, rec, eq_apriori_data, false);//no tail
//deinterleave+threshold
nsc_intrinsic_coded = SISO::threshold(eq_extrinsic_data(inv_perm), threshold_value);
//second decoder
siso.nsc(nsc_extrinsic_coded, nsc_extrinsic_data, nsc_intrinsic_coded, nsc_apriori_data, true);//tail
//decision
rec_bits = bpsk.demodulate_bits(-nsc_extrinsic_data);//assume that a priori info is zero
//count errors
berc.clear();
berc.count(bits, rec_bits.left(nb_bits));
ber(n, en) += berc.get_errorrate();
//interleave
eq_apriori_data = nsc_extrinsic_coded(perm);
}//end iterations
nb_errors += int(berc.get_errors());//get number of errors at the last iteration
nb_blocks++;
}//end blocks (while loop)
//compute BER over all tx blocks
ber.set_col(en, ber.get_col(en) / nb_blocks);
}
//save results to file
it_file ff("turbo_equalizer_bersim_multipath.it");
ff << Name("BER") << ber;
ff << Name("EbN0_dB") << EbN0_dB;
ff.close();
return 0;
}
TEST(SISO, all)
{
//general parameters
string map_metric="maxlogMAP";
ivec gen = "07 05";//octal form, feedback first
int constraint_length = 3;
int nb_errors_lim = 300;
int nb_bits_lim = int(1e4);
int perm_len = (1<<14);//total number of bits in a block (with tail)
int nb_iter = 10;//number of iterations in the turbo decoder
vec EbN0_dB = "0.0 0.5 1.0 1.5 2.0";
double R = 1.0/3.0;//coding rate (non punctured PCCC)
double Ec = 1.0;//coded bit energy
//other parameters
int nb_bits = perm_len-(constraint_length-1);//number of bits in a block (without tail)
vec sigma2 = (0.5*Ec/R)*pow(inv_dB(EbN0_dB), -1.0);//N0/2
double Lc;//scaling factor
int nb_blocks;//number of blocks
int nb_errors;
ivec perm(perm_len);
ivec inv_perm(perm_len);
bvec bits(nb_bits);
int cod_bits_len = perm_len*gen.length();
bmat cod1_bits;//tail is added
bvec tail;
bvec cod2_input;
bmat cod2_bits;
int rec_len = int(1.0/R)*perm_len;
bvec coded_bits(rec_len);
vec rec(rec_len);
vec dec1_intrinsic_coded(cod_bits_len);
vec dec2_intrinsic_coded(cod_bits_len);
vec apriori_data(perm_len);//a priori LLR for information bits
vec extrinsic_coded(perm_len);
vec extrinsic_data(perm_len);
bvec rec_bits(perm_len);
int snr_len = EbN0_dB.length();
mat ber(nb_iter,snr_len);
ber.zeros();
register int en,n;
//Recursive Systematic Convolutional Code
Rec_Syst_Conv_Code cc;
cc.set_generator_polynomials(gen, constraint_length);//initial state should be the zero state
//BPSK modulator
BPSK bpsk;
//AWGN channel
AWGN_Channel channel;
//SISO modules
SISO siso;
siso.set_generators(gen, constraint_length);
siso.set_map_metric(map_metric);
//BER
BERC berc;
//Fix random generators
RNG_reset(12345);
//main loop
for (en=0;en<snr_len;en++)
{
channel.set_noise(sigma2(en));
Lc = -2/sigma2(en);//normalisation factor for intrinsic information (take into account the BPSK mapping)
nb_errors = 0;
nb_blocks = 0;
while ((nb_errors<nb_errors_lim) && (nb_blocks*nb_bits<nb_bits_lim))//if at the last iteration the nb. of errors is inferior to lim, then process another block
{
//permutation
perm = sort_index(randu(perm_len));
//inverse permutation
inv_perm = sort_index(perm);
//bits generation
bits = randb(nb_bits);
//parallel concatenated convolutional code
cc.encode_tail(bits, tail, cod1_bits);//tail is added here to information bits to close the trellis
cod2_input = concat(bits, tail);
cc.encode(cod2_input(perm), cod2_bits);
for (n=0;n<perm_len;n++)//output with no puncturing
{
coded_bits(3*n) = cod2_input(n);//systematic output
coded_bits(3*n+1) = cod1_bits(n,0);//first parity output
coded_bits(3*n+2) = cod2_bits(n,0);//second parity output
}
//BPSK modulation (1->-1,0->+1) + AWGN channel
rec = channel(bpsk.modulate_bits(coded_bits));
//form input for SISO blocks
for (n=0;n<perm_len;n++)
{
dec1_intrinsic_coded(2*n) = Lc*rec(3*n);
dec1_intrinsic_coded(2*n+1) = Lc*rec(3*n+1);
dec2_intrinsic_coded(2*n) = 0.0;//systematic output of the CC is already used in decoder1
dec2_intrinsic_coded(2*n+1) = Lc*rec(3*n+2);
}
//turbo decoder
apriori_data.zeros();//a priori LLR for information bits
for (n=0;n<nb_iter;n++)
{
//first decoder
siso.rsc(extrinsic_coded, extrinsic_data, dec1_intrinsic_coded, apriori_data, true);
//interleave
apriori_data = extrinsic_data(perm);
//second decoder
siso.rsc(extrinsic_coded, extrinsic_data, dec2_intrinsic_coded, apriori_data, false);
//decision
apriori_data += extrinsic_data;//a posteriori information
rec_bits = bpsk.demodulate_bits(-apriori_data(inv_perm));//take into account the BPSK mapping
//count errors
berc.clear();
berc.count(bits, rec_bits.left(nb_bits));
ber(n,en) += berc.get_errorrate();
//deinterleave for the next iteration
apriori_data = extrinsic_data(inv_perm);
}//end iterations
nb_errors += int(berc.get_errors());//get number of errors at the last iteration
nb_blocks++;
}//end blocks (while loop)
//compute BER over all tx blocks
ber.set_col(en, ber.get_col(en)/nb_blocks);
}
// Results for max log MAP algorithm
vec ref = "0.158039 0.110731 0.0770358 0.0445611 0.0235014";
assert_vec(ref, ber.get_row(0));
ref = "0.14168 0.0783177 0.0273471 0.00494445 0.00128189";
assert_vec(ref, ber.get_row(1));
ref = "0.141375 0.0565865 0.00817971 0.000305213 0";
assert_vec(ref, ber.get_row(2));
ref = "0.142412 0.0421194 0.000732511 0 0";
assert_vec(ref, ber.get_row(3));
ref = "0.144244 0.0282017 0.000183128 0 0";
assert_vec(ref, ber.get_row(4));
ref = "0.145587 0.0142229 0 0 0";
assert_vec(ref, ber.get_row(5));
ref = "0.148517 0.00714199 0 0 0";
assert_vec(ref, ber.get_row(6));
ref = "0.141619 0.00225858 0 0 0";
assert_vec(ref, ber.get_row(7));
ref = "0.149676 0.000549383 0 0 0";
assert_vec(ref, ber.get_row(8));
ref = "0.14461 0 0 0 0";
assert_vec(ref, ber.get_row(9));
}
int main(void)
{
//general parameters
string mud_method = "maxlogTMAP";
int nb_usr = 2;
int spreading_factor = 16;
#ifdef USE_CC
string map_metric="maxlogMAP";
ivec gen = "037 021";
int constraint_length = 5;
spreading_factor = 8;
#endif
double threshold_value = 50;
int ch_nb_taps = 4;//number of channel multipaths
int nb_errors_lim = 1500;
int nb_bits_lim = int(1e3);//int(1e6);
int perm_len = 1024;//38400;//permutation length
int nb_iter = 15;//number of iterations in the turbo decoder
vec EbN0_dB = "10";//"0:10:20";
double Ec = 1.0;//chip energy
#ifdef USE_CC
int inv_R = spreading_factor*gen.length();
#else
int inv_R = spreading_factor;
#endif
double R = 1.0/double(inv_R);//coding rate
//other parameters
string filename = "IDMA_"+mud_method+"_"+to_str(nb_usr)+".it";
#ifdef USE_CC
filename = "cc"+filename;
#endif
filename = "Res/"+filename;
int nb_bits = perm_len/inv_R;//number of bits in a block
vec sigma2 = (0.5*Ec/R)*pow(inv_dB(EbN0_dB), -1.0);//N0/2
int nb_blocks = 0;//number of blocks
int nb_errors = 0;//number of errors
bmat bits(nb_usr,nb_bits);//data bits
#ifdef USE_CC
bvec coded_bits(nb_bits*gen.length());
vec mod_bits(nb_bits*gen.length());
#else
vec mod_bits(nb_bits);
#endif
vec chips(perm_len);
imat perm(nb_usr,perm_len);
imat inv_perm(nb_usr,perm_len);
vec em(perm_len);
vec rec(perm_len+ch_nb_taps-1);//padding zeros are added
//SISO MUD
mat mud_apriori_data(nb_usr,perm_len);
mat mud_extrinsic_data;
//SISO decoder (scrambler or CC)
vec dec_intrinsic_coded(perm_len);
vec dec_apriori_data(nb_bits);
dec_apriori_data.zeros();//always zero
vec dec_extrinsic_coded;
vec dec_extrinsic_data;
//decision
bvec rec_bits(nb_bits);
int snr_len = EbN0_dB.length();
mat ber(nb_iter,snr_len);
ber.zeros();
register int en,n,u;
#ifdef USE_CC
//CC
Convolutional_Code nsc;
nsc.set_generator_polynomials(gen, constraint_length);
#endif
//BPSK
BPSK bpsk;
//scrambler pattern
vec pattern = kron(ones(spreading_factor/2), vec("1.0 -1.0"));
//AWGN
AWGN_Channel awgn;
//multipath channel impulse response (Rayleigh fading) with real coefficients
vec single_ch(ch_nb_taps);
mat ch_imp_response(nb_usr, ch_nb_taps);
vec ini_state = zeros(ch_nb_taps);
MA_Filter<double,double,double> multipath_channel(ini_state);
multipath_channel.set_state(ini_state);//initial state is always 0 due to Zero Padding technique
vec padding_zeros = zeros(ch_nb_taps-1);
//SISO blocks
SISO siso;
siso.set_scrambler_pattern(pattern);
siso.set_mud_method(mud_method);
#ifdef USE_CC
siso.set_generators(gen, constraint_length);
siso.set_map_metric(map_metric);
siso.set_tail(false);
#endif
//BER
BERC berc;
//progress timer
tr::Progress_Timer timer;
timer.set_max(snr_len);
//Randomize generators
RNG_randomize();
//main loop
timer.progress(0.0);
for (en=0; en<snr_len; en++)
{
awgn.set_noise(sigma2(en));
siso.set_noise(sigma2(en));
nb_errors = 0;
nb_blocks = 0;
while ((nb_errors<nb_errors_lim) && (nb_blocks*nb_bits<nb_bits_lim))//if at the last iteration the nb. of errors is inferior to lim, then process another block
{
rec.zeros();
for (u=0; u<nb_usr; u++)
{
//permutation
perm.set_row(u, sort_index(randu(perm_len)));
//inverse permutation
inv_perm.set_row(u, sort_index(perm.get_row(u)));
//bits generation
bits.set_row(u, randb(nb_bits));
#ifdef USE_CC
//convolutional code
nsc.encode(bits.get_row(u), coded_bits);//no tail
//BPSK modulation (1->-1,0->+1)
mod_bits = bpsk.modulate_bits(coded_bits);
#else
//BPSK modulation (1->-1,0->+1)
mod_bits = bpsk.modulate_bits(bits.get_row(u));
#endif
//scrambler
chips = kron(mod_bits, pattern);
//permutation
em = chips(perm.get_row(u));
//multipath channel
single_ch = randray(ch_nb_taps);
single_ch /= sqrt(sum_sqr(single_ch));//normalized power profile
ch_imp_response.set_row(u, single_ch);
multipath_channel.set_coeffs(ch_imp_response.get_row(u));
rec += multipath_channel(concat(em, padding_zeros));//Zero Padding
}
rec = awgn(rec);
//turbo MUD
mud_apriori_data.zeros();//a priori LLR of emitted symbols
siso.set_impulse_response(ch_imp_response);
for (n=0; n<nb_iter; n++)
{
//MUD
siso.mud(mud_extrinsic_data, rec, mud_apriori_data);
berc.clear();//mean error rate over all users
for (u=0; u<nb_usr; u++)
{
//deinterleave
dec_intrinsic_coded = mud_extrinsic_data.get_row(u)(inv_perm.get_row(u));
#ifdef USE_CC
//decoder+descrambler
siso.nsc(dec_extrinsic_coded, dec_extrinsic_data, dec_intrinsic_coded, dec_apriori_data);
#else
//descrambler
siso.descrambler(dec_extrinsic_coded, dec_extrinsic_data, dec_intrinsic_coded, dec_apriori_data);
#endif
//decision
rec_bits = bpsk.demodulate_bits(-dec_extrinsic_data);//suppose that a priori info is zero
//count errors
berc.count(bits.get_row(u), rec_bits);
//interleave+threshold
mud_apriori_data.set_row(u, threshold(dec_extrinsic_coded(perm.get_row(u)), threshold_value));
}
ber(n,en) += berc.get_errorrate();
}//end iterations
nb_errors += int(berc.get_errors());//get number of errors at the last iteration
nb_blocks++;
}//end blocks (while loop)
//compute BER over all tx blocks
ber.set_col(en, ber.get_col(en)/nb_blocks);
//show progress
timer.progress(1+en);
}
timer.toc_print();
//save results to file
#ifdef TO_FILE
it_file ff(filename);
ff << Name("BER") << ber;
ff << Name("EbN0_dB") << EbN0_dB;
ff << Name("nb_usr") << nb_usr;
ff << Name("gen") << spreading_factor;
ff << Name("nb_iter") << nb_iter;
ff << Name("total_nb_bits") << nb_bits;
ff << Name("nb_errors_lim") << nb_errors_lim;
ff << Name("nb_bits_lim") << nb_bits_lim;
#ifdef USE_CC
ff << Name("gen") << gen;
#endif
ff.close();
#else
//show BER
cout << ber << endl;
#endif
return 0;
}
int main(int argc, char *argv[])
{
//receiver parameters
ivec gen = "0133 0171";
int constraint_length = 7;
int const_size = 16;//constellation size
int coherence_time = 512;//expressed in symbol durations, multiple of T, T<=coherence_time<=tx_duration, T is the ST code duration
double threshold_value = 50;
string map_metric="maxlogMAP";
string demapper_method = "mmsePIC";//Hassibi_maxlogMAP or GA or sGA or mmsePIC or zfPIC or Alamouti_maxlogMAP
int nb_errors_lim = 1500;
int nb_bits_lim = int(1e6);
int perm_len = pow2i(14);//permutation length
int nb_iter = 5;//number of iterations in the turbo decoder
int rec_antennas = 2;//number of reception antennas
vec EbN0_dB = "0:20";
double Es = 1.0;//mean symbol energy
int em_antennas = 2;//number of emission antennas
int channel_uses = 1;//ST code duration
string code_name = "V-BLAST_MxN";//V-BLAST_MxN, Golden_2x2, Damen_2x2, Alamouti_2xN
bool ideal_channel = false;
bool to_file = false;
//get parameters if any
if (EXIT_FAILURE == get_opts(argc, argv, demapper_method, const_size,
nb_errors_lim, nb_bits_lim, perm_len, nb_iter, rec_antennas, em_antennas,
channel_uses, code_name, ideal_channel, to_file, EbN0_dB))
{
print_help(argv[0]);
return EXIT_FAILURE;
}
//convolutional code generator polynomials
Convolutional_Code nsc;
nsc.set_generator_polynomials(gen, constraint_length);
double coding_rate = 1.0/2.0;
//QAM modulator class
QAM mod(const_size);
//Space-Time code parameters
STC st_block_code(code_name, const_size, em_antennas, channel_uses);//generate matrices for LD code (following Hassibi's approach)
int symb_block = st_block_code.get_nb_symbols_per_block();
em_antennas = st_block_code.get_nb_emission_antenna();//these parameters could by changed depending on the selected code
channel_uses = st_block_code.get_channel_uses();
//recompute interleaver length
int G = coherence_time*mod.bits_per_symbol()*symb_block;
perm_len = G*(perm_len/G);//recompute interleaver length
int block_len = int(coding_rate*perm_len);//informational block length
int nb_symb = perm_len/mod.bits_per_symbol();//number of symbols at the modulator output
int nb_subblocks = nb_symb/symb_block;//number of blocks of ST code emitted in an interleaver period
int tx_duration = channel_uses*nb_subblocks;//transmission duration expressed in number of symbol periods
//show configuration parameters
std::cout << "const_size = " << const_size
<< "\ndemapper_method = " << demapper_method
<< "\nnb_errors_lim = " << nb_errors_lim
<< "\nnb_bits_lim = " << nb_bits_lim
<< "\nperm_len = " << perm_len
<< "\ncode_name = " << code_name
<< "\nem_antennas = " << em_antennas
<< "\nchannel_uses = " << channel_uses
<< "\nnb_iter = " << nb_iter
<< "\nrec_antennas = " << rec_antennas
<< "\nEbN0_dB = " << EbN0_dB << std::endl;
if (true == ideal_channel)
{
if (em_antennas == rec_antennas)
{
std::cout << "Using ideal AWGN MIMO channel (no MAI)" << std::endl;
} else
{
std::cout << "Warning: cannot use ideal AWGN MIMO channel" << std::endl;
ideal_channel = false;
}
} else
{
std::cout << "Using random MIMO channel (with MAI)" << std::endl;
}
//fading channel parameters
if (coherence_time%channel_uses)//check if the coherence time is a multiple of channel_uses
{
coherence_time = channel_uses*(coherence_time/channel_uses);
std::cout << "Warning! The coherence time must be a multiple of T. Choosing coherence_time=channel_uses*floor(coherence_time/channel_uses) = "\
<< coherence_time << std::endl;
}
if (coherence_time>tx_duration)
{
coherence_time = channel_uses*(tx_duration/channel_uses);
std::cout << "Warning! The coherence time must be <= tx_duration. Choosing coherence_time = channel_uses*floor(tx_duration/channel_uses) = "\
<< coherence_time << std::endl;
}
cmat fading_pattern = ones_c(1, coherence_time/channel_uses);
//other parameters
string filename = "STBICM_"+map_metric+"_"+demapper_method+".it";
if (true == to_file)
{
std::cout << "Saving results to " << filename << std::endl;
}
double R = coding_rate*double(mod.bits_per_symbol()*symb_block)/double(channel_uses);//ST code rate in (info.) bits/channel use
vec sigma2 = (0.5*Es/(R*double(mod.bits_per_symbol())))*pow(inv_dB(EbN0_dB), -1.0);//N0/2
int nb_blocks;//number of blocks
int nb_errors;
bvec bits(block_len);//data bits
bvec coded_bits(perm_len);//no tail
cvec em(nb_symb);
ivec perm(perm_len);
ivec inv_perm(perm_len);
//SISO demapper
vec demapper_apriori_data(perm_len);
vec demapper_extrinsic_data(perm_len);
//SISO NSC
vec nsc_intrinsic_coded(perm_len);
vec nsc_apriori_data(block_len);
nsc_apriori_data.zeros();//always zero
vec nsc_extrinsic_coded(perm_len);
vec nsc_extrinsic_data(block_len);
//decision
bvec rec_bits(block_len);
int snr_len = EbN0_dB.length();
mat ber(nb_iter,snr_len);
ber.zeros();
register int en,n,ns;
cmat S(tx_duration, em_antennas);
cmat rec(tx_duration,rec_antennas);
//Rayleigh fading
cmat ch_attenuations(em_antennas*rec_antennas,tx_duration/channel_uses);
//SISO blocks
SISO siso;
siso.set_map_metric(map_metric);
siso.set_generators(gen, constraint_length);
siso.set_demapper_method(demapper_method);
siso.set_constellation(mod.bits_per_symbol(), mod.get_symbols()/sqrt(em_antennas), mod.get_bits2symbols());
siso.set_st_block_code(st_block_code.get_nb_symbols_per_block(), st_block_code.get_1st_gen_matrix(), st_block_code.get_2nd_gen_matrix(), rec_antennas);
//decision
BPSK bpsk;
//BER
BERC berc;
//Randomize generators
RNG_randomize();
//main loop
std::cout << std::endl;
for (en=0;en<snr_len;en++)
{
std::cout << "EbN0_dB = " << EbN0_dB[en] << std::endl;
siso.set_noise(sigma2(en));
nb_errors = 0;
nb_blocks = 0;
while ((nb_errors<nb_errors_lim) && (nb_blocks*block_len<nb_bits_lim))//if at the last iteration the nb. of errors is inferior to lim, then process another block
{
//permutation
perm = sort_index(randu(perm_len));
//inverse permutation
inv_perm = sort_index(perm);
//bits generation
bits = randb(block_len);
//convolutional code
nsc.encode(bits, coded_bits);//no tail
//permutation+QAM modulation
em = mod.modulate_bits(coded_bits(perm))/sqrt(em_antennas);//normalize emitted symbols
//ST code
S = st_block_code.encode(em);
/* channel matrices (there are tx_duration/tau_c different channel matrices MxN)
* a channel matrix is represented as a M*Nx1 vector (first M elements are the first column of the channel matrix)
* the channel matrix is constant over tau_c symbol periods (a multiple of T symbol durations)
* the channel matrix is the transpose of the true channel matrix
*/
if (false == ideal_channel)
{
ch_attenuations = kron(randn_c(em_antennas*rec_antennas, tx_duration/coherence_time), fading_pattern);
} else
{
cmat mimo_channel = kron(reshape(eye_c(em_antennas),
em_antennas*rec_antennas, 1), ones_c(1, tx_duration/coherence_time));
ch_attenuations = kron(mimo_channel, fading_pattern);
}
//flat-fading MIMO channel
for (ns=0;ns<nb_subblocks;ns++)
rec.set_submatrix(ns*channel_uses, 0, \
S(ns*channel_uses, (ns+1)*channel_uses-1, 0, em_antennas-1)*reshape(ch_attenuations.get_col(ns), em_antennas, rec_antennas));
rec += sqrt(2*sigma2(en))*randn_c(tx_duration,rec_antennas);//sigma2 is the variance on each dimension
//turbo receiver
demapper_apriori_data.zeros();//a priori information of emitted bits
siso.set_impulse_response(ch_attenuations);
for (n=0;n<nb_iter;n++)
{
//first decoder
siso.demapper(demapper_extrinsic_data, rec, demapper_apriori_data);
//deinterleave+threshold
nsc_intrinsic_coded = SISO::threshold(demapper_extrinsic_data(inv_perm), threshold_value);
//second decoder
siso.nsc(nsc_extrinsic_coded, nsc_extrinsic_data, nsc_intrinsic_coded, nsc_apriori_data, false);
//decision
rec_bits = bpsk.demodulate_bits(-nsc_extrinsic_data);//suppose that a priori info is zero
//count errors
berc.clear();
berc.count(bits, rec_bits);
ber(n,en) += berc.get_errorrate();
//interleave
demapper_apriori_data = nsc_extrinsic_coded(perm);
}//end iterations
nb_errors += int(berc.get_errors());//get number of errors at the last iteration
nb_blocks++;
}//end blocks (while loop)
//compute BER over all tx blocks
ber.set_col(en, ber.get_col(en)/nb_blocks);
}
if (true == to_file)
{
//save results to file
it_file ff(filename);
ff << Name("BER") << ber;
ff << Name("EbN0_dB") << EbN0_dB;
ff << Name("gen") << gen;
ff << Name("coding_rate") << coding_rate;
ff << Name("nb_iter") << nb_iter;
ff << Name("block_len") << block_len;
ff << Name("nb_errors_lim") << nb_errors_lim;
ff << Name("nb_bits_lim") << nb_bits_lim;
ff << Name("const_size") << const_size;
ff.close();
} else
{
//show BER
cout << "BER = " << ber << endl;
}
return 0;
}