kgoba-ft8_lib/ft8/ldpc.c

252 wiersze
7.0 KiB
C

//
// LDPC decoder for FT8.
//
// given a 174-bit codeword as an array of log-likelihood of zero,
// return a 174-bit corrected codeword, or zero-length array.
// last 87 bits are the (systematic) plain-text.
// this is an implementation of the sum-product algorithm
// from Sarah Johnson's Iterative Error Correction book.
// codeword[i] = log ( P(x=0) / P(x=1) )
//
#include "ldpc.h"
#include "constants.h"
#include <stdio.h>
#include <math.h>
#include <stdlib.h>
#include <stdbool.h>
static int ldpc_check(uint8_t codeword[]);
static float fast_tanh(float x);
static float fast_atanh(float x);
// codeword is 174 log-likelihoods.
// plain is a return value, 174 ints, to be 0 or 1.
// max_iters is how hard to try.
// ok == 87 means success.
void ldpc_decode(float codeword[], int max_iters, uint8_t plain[], int* ok)
{
float m[FTX_LDPC_M][FTX_LDPC_N]; // ~60 kB
float e[FTX_LDPC_M][FTX_LDPC_N]; // ~60 kB
int min_errors = FTX_LDPC_M;
for (int j = 0; j < FTX_LDPC_M; j++)
{
for (int i = 0; i < FTX_LDPC_N; i++)
{
m[j][i] = codeword[i];
e[j][i] = 0.0f;
}
}
for (int iter = 0; iter < max_iters; iter++)
{
for (int j = 0; j < FTX_LDPC_M; j++)
{
for (int ii1 = 0; ii1 < kFTX_LDPC_Num_rows[j]; ii1++)
{
int i1 = kFTX_LDPC_Nm[j][ii1] - 1;
float a = 1.0f;
for (int ii2 = 0; ii2 < kFTX_LDPC_Num_rows[j]; ii2++)
{
int i2 = kFTX_LDPC_Nm[j][ii2] - 1;
if (i2 != i1)
{
a *= fast_tanh(-m[j][i2] / 2.0f);
}
}
e[j][i1] = -2.0f * fast_atanh(a);
}
}
for (int i = 0; i < FTX_LDPC_N; i++)
{
float l = codeword[i];
for (int j = 0; j < 3; j++)
l += e[kFTX_LDPC_Mn[i][j] - 1][i];
plain[i] = (l > 0) ? 1 : 0;
}
int errors = ldpc_check(plain);
if (errors < min_errors)
{
// Update the current best result
min_errors = errors;
if (errors == 0)
{
break; // Found a perfect answer
}
}
for (int i = 0; i < FTX_LDPC_N; i++)
{
for (int ji1 = 0; ji1 < 3; ji1++)
{
int j1 = kFTX_LDPC_Mn[i][ji1] - 1;
float l = codeword[i];
for (int ji2 = 0; ji2 < 3; ji2++)
{
if (ji1 != ji2)
{
int j2 = kFTX_LDPC_Mn[i][ji2] - 1;
l += e[j2][i];
}
}
m[j1][i] = l;
}
}
}
*ok = min_errors;
}
//
// does a 174-bit codeword pass the FT8's LDPC parity checks?
// returns the number of parity errors.
// 0 means total success.
//
static int ldpc_check(uint8_t codeword[])
{
int errors = 0;
for (int m = 0; m < FTX_LDPC_M; ++m)
{
uint8_t x = 0;
for (int i = 0; i < kFTX_LDPC_Num_rows[m]; ++i)
{
x ^= codeword[kFTX_LDPC_Nm[m][i] - 1];
}
if (x != 0)
{
++errors;
}
}
return errors;
}
void bp_decode(float codeword[], int max_iters, uint8_t plain[], int* ok)
{
float tov[FTX_LDPC_N][3];
float toc[FTX_LDPC_M][7];
int min_errors = FTX_LDPC_M;
// initialize message data
for (int n = 0; n < FTX_LDPC_N; ++n)
{
tov[n][0] = tov[n][1] = tov[n][2] = 0;
}
for (int iter = 0; iter < max_iters; ++iter)
{
// Do a hard decision guess (tov=0 in iter 0)
int plain_sum = 0;
for (int n = 0; n < FTX_LDPC_N; ++n)
{
plain[n] = ((codeword[n] + tov[n][0] + tov[n][1] + tov[n][2]) > 0) ? 1 : 0;
plain_sum += plain[n];
}
if (plain_sum == 0)
{
// message converged to all-zeros, which is prohibited
break;
}
// Check to see if we have a codeword (check before we do any iter)
int errors = ldpc_check(plain);
if (errors < min_errors)
{
// we have a better guess - update the result
min_errors = errors;
if (errors == 0)
{
break; // Found a perfect answer
}
}
// Send messages from bits to check nodes
for (int m = 0; m < FTX_LDPC_M; ++m)
{
for (int n_idx = 0; n_idx < kFTX_LDPC_Num_rows[m]; ++n_idx)
{
int n = kFTX_LDPC_Nm[m][n_idx] - 1;
// for each (n, m)
float Tnm = codeword[n];
for (int m_idx = 0; m_idx < 3; ++m_idx)
{
if ((kFTX_LDPC_Mn[n][m_idx] - 1) != m)
{
Tnm += tov[n][m_idx];
}
}
toc[m][n_idx] = fast_tanh(-Tnm / 2);
}
}
// send messages from check nodes to variable nodes
for (int n = 0; n < FTX_LDPC_N; ++n)
{
for (int m_idx = 0; m_idx < 3; ++m_idx)
{
int m = kFTX_LDPC_Mn[n][m_idx] - 1;
// for each (n, m)
float Tmn = 1.0f;
for (int n_idx = 0; n_idx < kFTX_LDPC_Num_rows[m]; ++n_idx)
{
if ((kFTX_LDPC_Nm[m][n_idx] - 1) != n)
{
Tmn *= toc[m][n_idx];
}
}
tov[n][m_idx] = -2 * fast_atanh(Tmn);
}
}
}
*ok = min_errors;
}
// Ideas for approximating tanh/atanh:
// * https://varietyofsound.wordpress.com/2011/02/14/efficient-tanh-computation-using-lamberts-continued-fraction/
// * http://functions.wolfram.com/ElementaryFunctions/ArcTanh/10/0001/
// * https://mathr.co.uk/blog/2017-09-06_approximating_hyperbolic_tangent.html
// * https://math.stackexchange.com/a/446411
static float fast_tanh(float x)
{
if (x < -4.97f)
{
return -1.0f;
}
if (x > 4.97f)
{
return 1.0f;
}
float x2 = x * x;
// float a = x * (135135.0f + x2 * (17325.0f + x2 * (378.0f + x2)));
// float b = 135135.0f + x2 * (62370.0f + x2 * (3150.0f + x2 * 28.0f));
// float a = x * (10395.0f + x2 * (1260.0f + x2 * 21.0f));
// float b = 10395.0f + x2 * (4725.0f + x2 * (210.0f + x2));
float a = x * (945.0f + x2 * (105.0f + x2));
float b = 945.0f + x2 * (420.0f + x2 * 15.0f);
return a / b;
}
static float fast_atanh(float x)
{
float x2 = x * x;
// float a = x * (-15015.0f + x2 * (19250.0f + x2 * (-5943.0f + x2 * 256.0f)));
// float b = (-15015.0f + x2 * (24255.0f + x2 * (-11025.0f + x2 * 1225.0f)));
// float a = x * (-1155.0f + x2 * (1190.0f + x2 * -231.0f));
// float b = (-1155.0f + x2 * (1575.0f + x2 * (-525.0f + x2 * 25.0f)));
float a = x * (945.0f + x2 * (-735.0f + x2 * 64.0f));
float b = (945.0f + x2 * (-1050.0f + x2 * 225.0f));
return a / b;
}