// // 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 #include #include #include 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; }