mirror of
https://github.com/eried/portapack-mayhem.git
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168 lines
3.9 KiB
C++
168 lines
3.9 KiB
C++
/*
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* Copyright (C) 2014 Jared Boone, ShareBrained Technology, Inc.
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*
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* This file is part of PortaPack.
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*
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* This program is free software; you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation; either version 2, or (at your option)
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* any later version.
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with this program; see the file COPYING. If not, write to
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* the Free Software Foundation, Inc., 51 Franklin Street,
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* Boston, MA 02110-1301, USA.
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*/
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#ifndef __CLOCK_RECOVERY_H__
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#define __CLOCK_RECOVERY_H__
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#include <cstddef>
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#include <array>
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#include <functional>
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#include "linear_resampler.hpp"
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namespace clock_recovery {
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class GardnerTimingErrorDetector {
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public:
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static constexpr size_t samples_per_symbol { 2 };
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/*
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Expects retimed samples at a rate of twice the expected symbol rate.
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Calculates timing error, sends symbol and error to handler.
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*/
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template<typename SymbolHandler>
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void operator()(
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const float in,
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SymbolHandler symbol_handler
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) {
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/* NOTE: Algorithm is sensitive to input magnitude. Timing error value
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* will scale proportionally. Best practice is to use error sign only.
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*/
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t[2] = t[1];
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t[1] = t[0];
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t[0] = in;
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if( symbol_phase == 0 ) {
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const auto symbol = t[0];
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const float lateness = (t[0] - t[2]) * t[1];
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symbol_handler(symbol, lateness);
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}
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symbol_phase = (symbol_phase + 1) % samples_per_symbol;
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}
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private:
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std::array<float, 3> t { { 0.0f, 0.0f, 0.0f } };
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size_t symbol_phase { 0 };
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};
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class LinearErrorFilter {
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public:
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LinearErrorFilter(
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const float filter_alpha = 0.95f,
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const float error_weight = -1.0f
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) : filter_alpha { filter_alpha },
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error_weight { error_weight }
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{
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}
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float operator()(
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const float error
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) {
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error_filtered = filter_alpha * error_filtered + (1.0f - filter_alpha) * error;
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return error_filtered * error_weight;
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}
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private:
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const float filter_alpha;
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const float error_weight;
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float error_filtered { 0.0f };
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};
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class FixedErrorFilter {
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public:
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FixedErrorFilter(
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const float weight = (1.0f / 16.0f)
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) : weight_ { weight }
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{
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}
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float operator()(
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const float lateness
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) const {
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return (lateness < 0.0f) ? weight() : -weight();
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}
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float weight() const {
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return weight_;
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}
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private:
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const float weight_;
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};
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template<typename ErrorFilter>
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class ClockRecovery {
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public:
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ClockRecovery(
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const float sampling_rate,
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const float symbol_rate,
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const ErrorFilter error_filter,
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std::function<void(const float)> symbol_handler
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) : resampler(sampling_rate, symbol_rate * timing_error_detector.samples_per_symbol),
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error_filter { error_filter },
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symbol_handler { symbol_handler }
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{
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}
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void configure(
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const float sampling_rate,
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const float symbol_rate
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) {
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resampler.configure(sampling_rate, symbol_rate * timing_error_detector.samples_per_symbol);
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}
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void operator()(
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const float baseband_sample
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) {
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resampler(baseband_sample,
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[this](const float interpolated_sample) {
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this->resampler_callback(interpolated_sample);
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}
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);
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}
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private:
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dsp::interpolation::LinearResampler resampler;
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GardnerTimingErrorDetector timing_error_detector;
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ErrorFilter error_filter;
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std::function<void(const float)> symbol_handler;
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void resampler_callback(const float interpolated_sample) {
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timing_error_detector(interpolated_sample,
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[this](const float symbol, const float lateness) {
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this->symbol_callback(symbol, lateness);
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}
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);
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}
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void symbol_callback(const float symbol, const float lateness) {
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symbol_handler(symbol);
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const float adjustment = error_filter(lateness);
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resampler.advance(adjustment);
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}
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};
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} /* namespace clock_recovery */
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#endif/*__CLOCK_RECOVERY_H__*/
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