X-Git-Url: https://git.gag.com/?a=blobdiff_plain;f=gr-atsc%2Fsrc%2Flib%2Fatsci_equalizer_lms.cc;fp=gr-atsc%2Fsrc%2Flib%2Fatsci_equalizer_lms.cc;h=6358b5334c93ee2f8b9425b6ebd76720fb0ad5a2;hb=8a9ddbb0675f9bfcc6e03b457fba6c79474a3693;hp=0000000000000000000000000000000000000000;hpb=82d471b9b4a8b389b5da44b19c69c36420828382;p=debian%2Fgnuradio diff --git a/gr-atsc/src/lib/atsci_equalizer_lms.cc b/gr-atsc/src/lib/atsci_equalizer_lms.cc new file mode 100644 index 00000000..6358b533 --- /dev/null +++ b/gr-atsc/src/lib/atsci_equalizer_lms.cc @@ -0,0 +1,307 @@ +/* -*- c++ -*- */ +/* + * Copyright 2002 Free Software Foundation, Inc. + * + * This file is part of GNU Radio + * + * GNU Radio 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, or (at your option) + * any later version. + * + * GNU Radio 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 GNU Radio; see the file COPYING. If not, write to + * the Free Software Foundation, Inc., 51 Franklin Street, + * Boston, MA 02110-1301, USA. + */ + +#include +#include +#include +#include + +#include + +using std::min; +using std::max; + +static const int NTAPS = 256; +static const int NPRETAPS = (int) (NTAPS * 0.8); // probably should be either .2 or .8 + + +// the length of the field sync pattern that we know unequivocally +static const int KNOWN_FIELD_SYNC_LENGTH = 4 + 511 + 3 * 63; + +// static const float *get_data_seg_sync_training_sequence (int offset); +static int get_field_sync_training_sequence_length (int offset); +static const float *get_field_sync_training_sequence (int which_field, int offset); + + +atsci_equalizer_lms::atsci_equalizer_lms () : d_taps (NTAPS) +{ + for (int i = 0; i < NTAPS; i++) { + d_taps[i] = 0.0; + } + trainingfile=fopen("taps.txt","w"); +} + +atsci_equalizer_lms::~atsci_equalizer_lms () +{ +} + +void +atsci_equalizer_lms::reset () +{ + atsci_equalizer::reset (); // invoke superclass + + for (int i = 0; i < NTAPS; i++) { + d_taps[i] = 0.0; + } +} + +int +atsci_equalizer_lms::ntaps () const +{ + return NTAPS; +} + +int +atsci_equalizer_lms::npretaps () const +{ + return NPRETAPS; +} + +/*! + * Input range is known NOT TO CONTAIN data segment syncs + * or field syncs. This should be the fast path. In the + * non decicion directed case, this just runs the input + * through the filter without adapting it. + * + * \p input_samples has (nsamples + ntaps() - 1) valid entries. + * input_samples[0] .. input_samples[nsamples - 1 + ntaps() - 1] may be + * referenced to compute the output values. + */ +void +atsci_equalizer_lms::filter_normal (const float *input_samples, + float *output_samples, + int nsamples) +{ + // handle data + filterN (input_samples, output_samples, nsamples); +} + + +/*! + * Input range is known to consist of only a data segment sync or a + * portion of a data segment sync. \p nsamples will be in [1,4]. + * \p offset will be in [0,3]. \p offset is the offset of the input + * from the beginning of the data segment sync pattern. + * + * \p input_samples has (nsamples + ntaps() - 1) valid entries. + * input_samples[0] .. input_samples[nsamples - 1 + ntaps() - 1] may be + * referenced to compute the output values. + */ +void +atsci_equalizer_lms::filter_data_seg_sync (const float *input_samples, + float *output_samples, + int nsamples, + int offset) +{ + // handle data + // adaptN (input_samples, get_data_seg_sync_training_sequence (offset), + // output_samples, nsamples); + filterN (input_samples, output_samples, nsamples); + + // cerr << "Seg Sync: offset " << offset << "\tnsamples\t" << nsamples << "\t pre, 5 -5 -5 5\t" << + // output_samples[0] << "\t" << output_samples[1] << "\t" << output_samples[2] << "\t" << output_samples[3] << endl; + +} + + +/*! + * Input range is known to consist of only a field sync segment or a + * portion of a field sync segment. \p nsamples will be in [1,832]. + * \p offset will be in [0,831]. \p offset is the offset of the input + * from the beginning of the data segment sync pattern. We consider the + * 4 symbols of the immediately preceding data segment sync to be the + * first symbols of the field sync segment. \p which_field is in [0,1] + * and specifies which field (duh). + * + * \p input_samples has (nsamples + ntaps() - 1) valid entries. + * input_samples[0] .. input_samples[nsamples - 1 + ntaps() - 1] may be + * referenced to compute the output values. + */ +void +atsci_equalizer_lms::filter_field_sync (const float *input_samples, + float *output_samples, + int nsamples, + int offset, + int which_field) +{ + // Only the first 4 + 511 + 3 * 63 symbols are completely defined. + // Those after that the symbols are bilevel, so we could use decision feedback and use + // that to train, but for now, don't train on them. + + int n = min (nsamples, get_field_sync_training_sequence_length (offset)); + + // handle known training sequence + adaptN (input_samples, get_field_sync_training_sequence (which_field, offset), + output_samples, n); + + // just filter any unknown portion + if (nsamples > n) + filterN (&input_samples[n], &output_samples[n], nsamples - n); + + if (offset == 0 && nsamples > 0){ + for (int i = 0; i < NTAPS; i++) + fprintf(trainingfile,"%f ",d_taps[i]); + + fprintf (trainingfile,"\n"); + } + +} + +// ---------------------------------------------------------------- + +// +// filter a single output +// +float +atsci_equalizer_lms::filter1 (const float input[]) +{ + static const int N_UNROLL = 4; + + float acc0 = 0; + float acc1 = 0; + float acc2 = 0; + float acc3 = 0; + + + unsigned i = 0; + unsigned n = (NTAPS / N_UNROLL) * N_UNROLL; + + for (i = 0; i < n; i += N_UNROLL){ + acc0 += d_taps[i + 0] * input[i + 0]; + acc1 += d_taps[i + 1] * input[i + 1]; + acc2 += d_taps[i + 2] * input[i + 2]; + acc3 += d_taps[i + 3] * input[i + 3]; + } + + for (; i < (unsigned) NTAPS; i++) + acc0 += d_taps[i] * input[i]; + + return (acc0 + acc1 + acc2 + acc3); +} + +// +// filter and adapt a single output +// +float +atsci_equalizer_lms::adapt1 (const float input[], float ideal_output) +{ + static const double BETA = 0.00005; // FIXME figure out what this ought to be + // FIXME add gear-shifting + + double y = filter1 (input); + double e = y - ideal_output; + + // update taps... + for (int i = 0; i < NTAPS; i++){ + d_taps[i] = d_taps[i] - BETA * e * (double)(input[i]); + } + + return y; +} + +void +atsci_equalizer_lms::filterN (const float *input_samples, + float *output_samples, + int nsamples) +{ + for (int i = 0; i < nsamples; i++) + output_samples[i] = filter1 (&input_samples[i]); +} + + +void +atsci_equalizer_lms::adaptN (const float *input_samples, + const float *training_pattern, + float *output_samples, + int nsamples) +{ + for (int i = 0; i < nsamples; i++) + output_samples[i] = adapt1 (&input_samples[i], training_pattern[i]); +} + +// ---------------------------------------------------------------- + +static float +bin_map (int bit) +{ + return bit ? +5 : -5; +} + +static void +init_field_sync_common (float *p, int mask) + +{ + int i = 0; + + p[i++] = bin_map (1); // data segment sync pulse + p[i++] = bin_map (0); + p[i++] = bin_map (0); + p[i++] = bin_map (1); + + for (int j = 0; j < 511; j++) // PN511 + p[i++] = bin_map (atsc_pn511[j]); + + for (int j = 0; j < 63; j++) // PN63 + p[i++] = bin_map (atsc_pn63[j]); + + for (int j = 0; j < 63; j++) // PN63, toggled on field 2 + p[i++] = bin_map (atsc_pn63[j] ^ mask); + + for (int j = 0; j < 63; j++) // PN63 + p[i++] = bin_map (atsc_pn63[j]); + + assert (i == KNOWN_FIELD_SYNC_LENGTH); +} + +#if 0 +static const float * +get_data_seg_sync_training_sequence (int offset) +{ + static const float training_data[4] = { +5, -5, -5, +5 }; + return &training_data[offset]; +} +#endif + +static int +get_field_sync_training_sequence_length (int offset) +{ + return max (0, KNOWN_FIELD_SYNC_LENGTH - offset); +} + +static const float * +get_field_sync_training_sequence (int which_field, int offset) +{ + static float *field_1 = 0; + static float *field_2 = 0; + + if (field_1 == 0){ + field_1 = new float[KNOWN_FIELD_SYNC_LENGTH]; + field_2 = new float[KNOWN_FIELD_SYNC_LENGTH]; + init_field_sync_common (field_1, 0); + init_field_sync_common (field_2, 1); + } + + if (which_field == 0) + return &field_1[offset]; + else + return &field_2[offset]; +}