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/*!
* \file
* \brief Turbo encoder/decoder class test program
* \author Pal Frenger and Erik G. Larsson
*
* -------------------------------------------------------------------------
*
* Copyright (C) 1995-2013 (see AUTHORS file for a list of contributors)
*
* This file is part of IT++ - a C++ library of mathematical, signal
* processing, speech processing, and communications classes and functions.
*
* IT++ is free software: you can redistribute it and/or modify it under the
* terms of the GNU General Public License as published by the Free Software
* Foundation, either version 3 of the License, or (at your option) any
* later version.
*
* IT++ is distributed in the hope that it will be useful, but WITHOUT ANY
* WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
* FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
* details.
*
* You should have received a copy of the GNU General Public License along
* with IT++. If not, see <http://www.gnu.org/licenses/>.
*
* -------------------------------------------------------------------------
*/
#include <itpp/itcomm.h>
#include "gtest/gtest.h"
using namespace itpp;
using namespace std;
static
void assert_mat_p(const mat &ref, const mat &act, int line, double tol = 1e-4)
{
ASSERT_EQ(ref.rows(), act.rows()) << line;
ASSERT_EQ(ref.cols(), act.cols()) << line;
for (int n = 0; n < ref.rows(); ++n) {
for (int k = 0; k < ref.cols(); ++k) {
ASSERT_NEAR(ref(n,k), act(n,k), tol) << line;
}
}
}
#define assert_mat(ref, act) assert_mat_p(ref, act, __LINE__)
#define assert_mat_tol(ref, act, tol) assert_mat_p(ref, act, __LINE__, tol)
TEST(Turbo, All)
{
RNG_reset(12345);
Turbo_Codec turbo;
ivec gen(2);
gen(0) = 07;
gen(1) = 05;
int constraint_length = 3;
int block_length = 400;
ivec interleaver_sequence = wcdma_turbo_interleaver_sequence(block_length);
int iterations = 8;
string metric = "LOGMAX";
double logmax_scale_factor = 0.7;
bool adaptive_stop = true;
turbo.set_parameters(gen, gen, constraint_length, interleaver_sequence,
iterations, metric, logmax_scale_factor,
adaptive_stop);
int num_blocks = 50;
bmat puncture_matrix = "1 1;1 1;1 1";
Punctured_Turbo_Codec pturbo_ref;
pturbo_ref.set_parameters(gen, gen, constraint_length, interleaver_sequence,
puncture_matrix, iterations, metric, logmax_scale_factor,
adaptive_stop);
vec EbN0db = "0.0 0.5 1.0 1.5 2.0";
double A = 1.0;
double Ts = 1.0;
double Ec = A * A * Ts;
double r = block_length / (3.0 * block_length + 8.0); // 8 tailbits
double Eb = Ec / r;
vec EbN0 = pow(10.0, 0.1 * EbN0db);
vec N0 = Eb * pow(EbN0, -1.0);
vec sigma2 = N0 / 2;
ivec nrof_used_iterations;
vec symbols, received;
bvec input, coded_bits, decoded_bits, transmitted;
bvec decoded_bits_p;
Normal_RNG noise_src;
BPSK bpsk;
BERC berc;
mat err = zeros(4, EbN0db.length());
mat cor = zeros(4, EbN0db.length());
mat ber = zeros(4, EbN0db.length());
mat avg_nrof_iterations = zeros(4, EbN0db.length());
LLR_calc_unit lowresllrcalc(10, 7, 9); // table with low resolution
Array<Real_Timer> timer(4);
for(int i = 0; i < 4; i++) {
timer(i).reset();
}
for(int i = 0; i < EbN0db.length(); i++) {
noise_src.setup(0.0, sigma2(i));
turbo.set_awgn_channel_parameters(Ec, N0(i));
pturbo_ref.set_awgn_channel_parameters(Ec, N0(i));
input = randb(block_length * num_blocks);
turbo.encode(input, transmitted);
bpsk.modulate_bits(transmitted, symbols);
received = symbols + noise_src(transmitted.length());
// -- logmax decoding --
turbo.set_metric("LOGMAX", 1.0);
timer(0).start();
turbo.decode(received, decoded_bits, nrof_used_iterations);
timer(0).stop();
pturbo_ref.set_metric("LOGMAX", 1.0);
pturbo_ref.decode(received, decoded_bits_p, nrof_used_iterations);
ASSERT_TRUE(decoded_bits == decoded_bits_p);
berc.clear();
berc.count(input, decoded_bits);
err(0, i) = berc.get_errors();
cor(0, i) = berc.get_corrects();
ber(0, i) = berc.get_errorrate();
avg_nrof_iterations(0, i) = static_cast<double>(sum(nrof_used_iterations)) / length(nrof_used_iterations);
// -- logmap decoding --
turbo.set_metric("LOGMAP", 1.0);
timer(1).start();
turbo.decode(received, decoded_bits, nrof_used_iterations);
timer(1).stop();
pturbo_ref.set_metric("LOGMAP", 1.0);
pturbo_ref.decode(received, decoded_bits_p, nrof_used_iterations);
ASSERT_TRUE(decoded_bits == decoded_bits_p);
berc.clear();
berc.count(input, decoded_bits);
err(1, i) = berc.get_errors();
cor(1, i) = berc.get_corrects();
ber(1, i) = berc.get_errorrate();
avg_nrof_iterations(1, i) = static_cast<double>(sum(nrof_used_iterations)) / length(nrof_used_iterations);
// -- QLLR decoding, default resolution --
turbo.set_metric("TABLE", 1.0);
timer(2).start();
turbo.decode(received, decoded_bits, nrof_used_iterations);
timer(2).stop();
pturbo_ref.set_metric("TABLE", 1.0);
pturbo_ref.decode(received, decoded_bits_p, nrof_used_iterations);
ASSERT_TRUE(decoded_bits == decoded_bits_p);
berc.clear();
berc.count(input, decoded_bits);
err(2, i) = berc.get_errors();
cor(2, i) = berc.get_corrects();
ber(2, i) = berc.get_errorrate();
avg_nrof_iterations(2, i) = static_cast<double>(sum(nrof_used_iterations)) / length(nrof_used_iterations);
// -- QLLR decoding, low resolution --
turbo.set_metric("TABLE", 1.0, lowresllrcalc);
timer(3).start();
turbo.decode(received, decoded_bits, nrof_used_iterations);
timer(3).stop();
pturbo_ref.set_metric("TABLE", 1.0, lowresllrcalc);
pturbo_ref.decode(received, decoded_bits_p, nrof_used_iterations);
ASSERT_TRUE(decoded_bits == decoded_bits_p);
berc.clear();
berc.count(input, decoded_bits);
err(3, i) = berc.get_errors();
cor(3, i) = berc.get_corrects();
ber(3, i) = berc.get_errorrate();
avg_nrof_iterations(3, i) = static_cast<double>(sum(nrof_used_iterations)) / length(nrof_used_iterations);
}
mat ref = "0.1174 0.0586 0.005 0.00065 0;"
"0.0518 0.02005 0.0017 0 0;"
"0.0522 0.0199 0.0017 0 0;"
"0.05495 0.01905 0.0017 0 0";
assert_mat(ref, ber);
ref = "7.7 7.04 4.7 3.46 3.02;"
"7.16 6.06 4.12 3.24 3;"
"7.2 6.06 4.08 3.24 3;"
"7.26 6.1 4.06 3.22 3.06";
assert_mat(ref, avg_nrof_iterations);
ref = "2348 1172 100 13 0;"
"1036 401 34 0 0;"
"1044 398 34 0 0;"
"1099 381 34 0 0";
assert_mat(ref, err);
ref = "17652 18828 19900 19987 20000;"
"18964 19599 19966 20000 20000;"
"18956 19602 19966 20000 20000;"
"18901 19619 19966 20000 20000";
assert_mat(ref, cor);
/* ######################################
* # now test for punctured turbo codec #
* ######################################
*/
puncture_matrix = "1 1;1 0;0 1";
Punctured_Turbo_Codec pturbo;
pturbo.set_parameters(gen, gen, constraint_length, interleaver_sequence,
puncture_matrix, iterations, metric, logmax_scale_factor,
adaptive_stop);
r = pturbo.get_rate();
Eb = Ec / r;
N0 = Eb * pow(EbN0, -1.0);
sigma2 = N0 / 2;
err.zeros();
cor.zeros();
ber.zeros();
avg_nrof_iterations.zeros();
for(int i = 0; i < 4; i++) {
timer(i).reset();
}
for(int i = 0; i < EbN0db.length(); i++) {
noise_src.setup(0.0, sigma2(i));
pturbo.set_awgn_channel_parameters(Ec, N0(i));
input = randb(block_length * num_blocks);
pturbo.encode(input, transmitted);
bpsk.modulate_bits(transmitted, symbols);
received = symbols + noise_src(transmitted.length());
// -- logmax decoding --
pturbo.set_metric("LOGMAX", 1.0);
timer(0).start();
pturbo.decode(received, decoded_bits, nrof_used_iterations);
timer(0).stop();
berc.clear();
berc.count(input, decoded_bits);
err(0, i) = berc.get_errors();
cor(0, i) = berc.get_corrects();
ber(0, i) = berc.get_errorrate();
avg_nrof_iterations(0, i) = static_cast<double>(sum(nrof_used_iterations)) / length(nrof_used_iterations);
// -- logmap decoding --
pturbo.set_metric("LOGMAP", 1.0);
timer(1).start();
pturbo.decode(received, decoded_bits, nrof_used_iterations);
timer(1).stop();
berc.clear();
berc.count(input, decoded_bits);
err(1, i) = berc.get_errors();
cor(1, i) = berc.get_corrects();
ber(1, i) = berc.get_errorrate();
avg_nrof_iterations(1, i) = static_cast<double>(sum(nrof_used_iterations)) / length(nrof_used_iterations);
// -- QLLR decoding, default resolution --
pturbo.set_metric("TABLE", 1.0);
timer(2).start();
pturbo.decode(received, decoded_bits, nrof_used_iterations);
timer(2).stop();
berc.clear();
berc.count(input, decoded_bits);
err(2, i) = berc.get_errors();
cor(2, i) = berc.get_corrects();
ber(2, i) = berc.get_errorrate();
avg_nrof_iterations(2, i) = static_cast<double>(sum(nrof_used_iterations)) / length(nrof_used_iterations);
// -- QLLR decoding, low resolution --
pturbo.set_metric("TABLE", 1.0, lowresllrcalc);
timer(3).start();
pturbo.decode(received, decoded_bits, nrof_used_iterations);
timer(3).stop();
berc.clear();
berc.count(input, decoded_bits);
err(3, i) = berc.get_errors();
cor(3, i) = berc.get_corrects();
ber(3, i) = berc.get_errorrate();
avg_nrof_iterations(3, i) = static_cast<double>(sum(nrof_used_iterations)) / length(nrof_used_iterations);
}
ref = "0.1489 0.0907 0.0519 0.00355 0.00195;"
"0.1068 0.0428 0.0242 0.0002 0;"
"0.10685 0.04285 0.02435 0.0002 0;"
"0.10745 0.04645 0.0244 0.00035 0";
assert_mat(ref, ber);
ref = "8 7.74 6.92 4.42 3.26;"
"6.38 7.26 6.18 4.08 3.32;"
"6.48 7.2 6.2 4.08 3.3;"
"7.88 7.44 6.42 4.02 3.28";
assert_mat(ref, avg_nrof_iterations);
ref = "2978 1814 1038 71 39;"
"2136 856 484 4 0;"
"2137 857 487 4 0;"
"2149 929 488 7 0";
assert_mat_tol(ref, err, 2);
ref = "17022 18186 18962 19929 19961;"
"17864 19144 19516 19996 20000;"
"17863 19143 19513 19996 20000;"
"17851 19071 19512 19993 20000";
assert_mat_tol(ref, cor, 2);
/*
// The test program cannot print this out, but on my system
// the QLLR based decoder is about 8 times faster than logmap. -EGL
cerr << "Timers: ";
for (int i=0; i<4; i++) { cerr << timer(i).get_time() << " "; }
cerr << endl;
*/
//test interleavers
ivec interleaver;
ivec block_lengths = "40 48 56 64 72 80 88 96 104 112 120 128 136 144 152 "
"160 168 176 184 192 200 208 216 224 232 240 248 256 264 272 280 288 296 "
"304 312 320 328 336 344 352 360 368 376 384 392 400 "
"408 416 424 432 440 448 456 464 472 480 488 496 504 512 528 544 560 576 "
"592 608 624 640 656 672 688 704 720 736 752 768 784 "
"800 816 832 848 864 880 896 912 928 944 960 976 992 1008 1024 1056 1088 "
"1120 1152 1184 1216 1248 1280 1312 1344 1376 1408 "
"1440 1472 1504 1536 1568 1600 1632 1664 1696 1728 1760 1792 1824 1856 1888 "
"1920 1952 1984 2016 2048 2112 2176 2240 2304 2368 "
"2432 2496 2560 2624 2688 2752 2816 2880 2944 3008 3072 3136 3200 3264 3328 "
"3392 3456 3520 3584 3648 3712 3776 3840 3904 3968 "
"4032 4096 4160 4224 4288 4352 4416 4480 4544 4608 4672 4736 4800 4864 4928 "
"4992 5056 5120 5184 5248 5312 5376 5440 5504 5568 "
"5632 5696 5760 5824 5888 5952 6016 6080 6144";
for(int i = 0; i < block_lengths.length(); ++i) {
if(5114 >= block_lengths[i]) { //use allowed lengths
interleaver = wcdma_turbo_interleaver_sequence(block_lengths[i]);
sort(interleaver);
for(int j = 0; j < block_lengths[i]; ++j) {
ASSERT_TRUE(j == interleaver[j]) << "WCDMA: wrong value for intl length " << block_lengths[i];
}
}
interleaver = lte_turbo_interleaver_sequence(block_lengths[i]);
sort(interleaver);
for(int j = 0; j < block_lengths[i]; ++j) {
ASSERT_TRUE(j == interleaver[j]) << "LTE: wrong value for intl length " << block_lengths[i];
}
}
}
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