mirror of
https://github.com/f4exb/sdrangel.git
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247 lines
8.3 KiB
C++
247 lines
8.3 KiB
C++
/*
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LDPC testbench
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Copyright 2018 Ahmet Inan <xdsopl@gmail.com>
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*/
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#include <stdlib.h>
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#include <iostream>
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#include <iomanip>
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#include <random>
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#include <cmath>
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#include <cassert>
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#include <chrono>
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#include <cstring>
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#include <algorithm>
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#include <functional>
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#include "testbench.h"
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#include "encoder.h"
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#include "algorithms.h"
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#include "interleaver.h"
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#include "modulation.h"
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#if 0
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#include "flooding_decoder.h"
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static const int TRIALS = 50;
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#else
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#include "layered_decoder.h"
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static const int TRIALS = 25;
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#endif
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namespace ldpctool {
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LDPCInterface *create_ldpc(char *standard, char prefix, int number);
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Interleaver<code_type> *create_interleaver(char *modulation, char *standard, char prefix, int number);
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ModulationInterface<complex_type, code_type> *create_modulation(char *name, int len);
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int main(int argc, char **argv)
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{
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if (argc != 6)
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return -1;
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typedef NormalUpdate<simd_type> update_type;
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//typedef SelfCorrectedUpdate<simd_type> update_type;
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//typedef MinSumAlgorithm<simd_type, update_type> algorithm_type;
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typedef OffsetMinSumAlgorithm<simd_type, update_type, FACTOR> algorithm_type;
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//typedef MinSumCAlgorithm<simd_type, update_type, FACTOR> algorithm_type;
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//typedef LogDomainSPA<simd_type, update_type> algorithm_type;
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//typedef LambdaMinAlgorithm<simd_type, update_type, 3> algorithm_type;
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//typedef SumProductAlgorithm<simd_type, update_type> algorithm_type;
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LDPCEncoder<code_type> encode;
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LDPCDecoder<simd_type, algorithm_type> decode;
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LDPCInterface *ldpc = create_ldpc(argv[2], argv[3][0], atoi(argv[3]+1));
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if (!ldpc) {
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std::cerr << "no such table!" << std::endl;
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return -1;
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}
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const int CODE_LEN = ldpc->code_len();
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const int DATA_LEN = ldpc->data_len();
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std::cerr << "testing LDPC(" << CODE_LEN << ", " << DATA_LEN << ") code." << std::endl;
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encode.init(ldpc);
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decode.init(ldpc);
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ModulationInterface<complex_type, code_type> *mod = create_modulation(argv[4], CODE_LEN);
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if (!mod) {
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std::cerr << "no such modulation!" << std::endl;
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return -1;
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}
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const int MOD_BITS = mod->bits();
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assert(CODE_LEN % MOD_BITS == 0);
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const int SYMBOLS = CODE_LEN / MOD_BITS;
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Interleaver<code_type> *itl = create_interleaver(argv[4], argv[2], argv[3][0], atoi(argv[3]+1));
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assert(itl);
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value_type SNR = atof(argv[1]);
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//value_type mean_signal = 0;
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value_type sigma_signal = 1;
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value_type mean_noise = 0;
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value_type sigma_noise = std::sqrt(sigma_signal * sigma_signal / (2 * std::pow(10, SNR / 10)));
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std::cerr << SNR << " Es/N0 => AWGN with standard deviation of " << sigma_noise << " and mean " << mean_noise << std::endl;
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value_type code_rate = (value_type)DATA_LEN / (value_type)CODE_LEN;
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value_type spectral_efficiency = code_rate * MOD_BITS;
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value_type EbN0 = 10 * std::log10(sigma_signal * sigma_signal / (spectral_efficiency * 2 * sigma_noise * sigma_noise));
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std::cerr << EbN0 << " Eb/N0, using spectral efficiency of " << spectral_efficiency << " from " << code_rate << " code rate and " << MOD_BITS << " bits per symbol." << std::endl;
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std::random_device rd;
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std::default_random_engine generator(rd());
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typedef std::uniform_int_distribution<int> uniform;
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typedef std::normal_distribution<value_type> normal;
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auto data = std::bind(uniform(0, 1), generator);
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auto awgn = std::bind(normal(mean_noise, sigma_noise), generator);
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int BLOCKS = atoi(argv[5]);
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if (BLOCKS < 1)
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return -1;
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void *aligned_buffer = aligned_alloc(sizeof(simd_type), sizeof(simd_type) * CODE_LEN);
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simd_type *simd = reinterpret_cast<simd_type *>(aligned_buffer);
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code_type *code = new code_type[BLOCKS * CODE_LEN];
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code_type *orig = new code_type[BLOCKS * CODE_LEN];
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code_type *noisy = new code_type[BLOCKS * CODE_LEN];
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complex_type *symb = new complex_type[BLOCKS * SYMBOLS];
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for (int j = 0; j < BLOCKS; ++j)
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for (int i = 0; i < DATA_LEN; ++i)
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code[j * CODE_LEN + i] = 1 - 2 * data();
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for (int j = 0; j < BLOCKS; ++j)
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encode(code + j * CODE_LEN, code + j * CODE_LEN + DATA_LEN);
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for (int i = 0; i < BLOCKS * CODE_LEN; ++i)
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orig[i] = code[i];
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for (int i = 0; i < BLOCKS; ++i)
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itl->fwd(code + i * CODE_LEN);
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for (int j = 0; j < BLOCKS; ++j)
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mod->mapN(symb + j * SYMBOLS, code + j * CODE_LEN);
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for (int i = 0; i < BLOCKS * SYMBOLS; ++i)
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symb[i] += complex_type(awgn(), awgn());
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if (1) {
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code_type tmp[MOD_BITS];
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value_type sp = 0, np = 0;
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for (int i = 0; i < SYMBOLS; ++i) {
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mod->hard(tmp, symb[i]);
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complex_type s = mod->map(tmp);
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complex_type e = symb[i] - s;
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sp += std::norm(s);
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np += std::norm(e);
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}
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value_type snr = 10 * std::log10(sp / np);
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sigma_signal = std::sqrt(sp / SYMBOLS);
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sigma_noise = std::sqrt(np / (2 * sp));
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std::cerr << snr << " Es/N0, stddev " << sigma_noise << " of noise and " << sigma_signal << " of signal estimated via hard decision." << std::endl;
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}
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// $LLR=log(\frac{p(x=+1|y)}{p(x=-1|y)})$
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// $p(x|\mu,\sigma)=\frac{1}{\sqrt{2\pi}\sigma}}e^{-\frac{(x-\mu)^2}{2\sigma^2}}$
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value_type precision = FACTOR / (sigma_noise * sigma_noise);
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for (int j = 0; j < BLOCKS; ++j)
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mod->softN(code + j * CODE_LEN, symb + j * SYMBOLS, precision);
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for (int i = 0; i < BLOCKS; ++i)
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itl->bwd(code + i * CODE_LEN);
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for (int i = 0; i < BLOCKS * CODE_LEN; ++i)
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noisy[i] = code[i];
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for (int i = 0; i < BLOCKS * CODE_LEN; ++i)
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assert(!std::isnan(code[i]));
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int iterations = 0;
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int num_decodes = 0;
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auto start = std::chrono::system_clock::now();
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for (int j = 0; j < BLOCKS; j += SIMD_WIDTH) {
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int blocks = j + SIMD_WIDTH > BLOCKS ? BLOCKS - j : SIMD_WIDTH;
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for (int n = 0; n < blocks; ++n)
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for (int i = 0; i < CODE_LEN; ++i)
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reinterpret_cast<code_type *>(simd+i)[n] = code[(j+n)*CODE_LEN+i];
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int trials = TRIALS;
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int count = decode(simd, simd + DATA_LEN, trials, blocks);
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++num_decodes;
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for (int n = 0; n < blocks; ++n)
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for (int i = 0; i < CODE_LEN; ++i)
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code[(j+n)*CODE_LEN+i] = reinterpret_cast<code_type *>(simd+i)[n];
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if (count < 0) {
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iterations += blocks * trials;
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std::cerr << "decoder failed at converging to a code word!" << std::endl;
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} else {
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iterations += blocks * (trials - count);
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std::cerr << trials - count << " iterations were needed." << std::endl;
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}
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}
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auto end = std::chrono::system_clock::now();
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auto msec = std::chrono::duration_cast<std::chrono::milliseconds>(end - start);
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int kbs = (BLOCKS * DATA_LEN + msec.count() / 2) / msec.count();
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std::cerr << kbs << " kilobit per second." << std::endl;
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float avg_iter = (float)iterations / (float)BLOCKS;
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std::cerr << avg_iter << " average iterations per block." << std::endl;
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float avg_msec = (float)msec.count() / (float)num_decodes;
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std::cerr << avg_msec << " average milliseconds per decode." << std::endl;
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for (int i = 0; i < BLOCKS * CODE_LEN; ++i)
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assert(!std::isnan(code[i]));
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int awgn_errors = 0;
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for (int i = 0; i < BLOCKS * CODE_LEN; ++i)
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awgn_errors += noisy[i] * orig[i] < 0;
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int quantization_erasures = 0;
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for (int i = 0; i < BLOCKS * CODE_LEN; ++i)
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quantization_erasures += !noisy[i];
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int uncorrected_errors = 0;
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for (int i = 0; i < BLOCKS * CODE_LEN; ++i)
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uncorrected_errors += code[i] * orig[i] <= 0;
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int decoder_errors = 0;
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for (int i = 0; i < BLOCKS * CODE_LEN; ++i)
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decoder_errors += code[i] * orig[i] <= 0 && orig[i] * noisy[i] > 0;
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float bit_error_rate = (float)uncorrected_errors / (float)(BLOCKS * CODE_LEN);
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if (1) {
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for (int i = 0; i < CODE_LEN; ++i)
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code[i] = code[i] < 0 ? -1 : 1;
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itl->fwd(code);
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value_type sp = 0, np = 0;
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for (int i = 0; i < SYMBOLS; ++i) {
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complex_type s = mod->map(code + i * MOD_BITS);
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complex_type e = symb[i] - s;
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sp += std::norm(s);
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np += std::norm(e);
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}
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value_type snr = 10 * std::log10(sp / np);
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sigma_signal = std::sqrt(sp / SYMBOLS);
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sigma_noise = std::sqrt(np / (2 * sp));
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std::cerr << snr << " Es/N0, stddev " << sigma_noise << " of noise and " << sigma_signal << " of signal estimated from corrected symbols." << std::endl;
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}
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std::cerr << awgn_errors << " errors caused by AWGN." << std::endl;
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std::cerr << quantization_erasures << " erasures caused by quantization." << std::endl;
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std::cerr << decoder_errors << " errors caused by decoder." << std::endl;
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std::cerr << uncorrected_errors << " errors uncorrected." << std::endl;
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std::cerr << bit_error_rate << " bit error rate." << std::endl;
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if (0) {
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std::cout << SNR << " " << bit_error_rate << " " << avg_iter << " " << EbN0 << std::endl;
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}
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delete ldpc;
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delete mod;
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delete itl;
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free(aligned_buffer);
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delete[] code;
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delete[] orig;
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delete[] noisy;
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delete[] symb;
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return 0;
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}
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} // namespace ldpctool
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