mirror of
https://github.com/hb9fxq/gr-digitalhf
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129 lines
3.8 KiB
C++
129 lines
3.8 KiB
C++
/* -*- c++ -*- */
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/*
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* Copyright 2018 hcab14@mail.com.
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*
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* This 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 3, or (at your option)
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* any later version.
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*
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* This software 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 software; 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 INCLUDED_DIGITALHF_ADAPTIVE_DFE_IMPL_H
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#define INCLUDED_DIGITALHF_ADAPTIVE_DFE_IMPL_H
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#include <boost/python.hpp>
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#include <boost/python/numpy.hpp>
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#include <gnuradio/digital/constellation.h>
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#include <digitalhf/adaptive_dfe.h>
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namespace gr {
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namespace digitalhf {
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class adaptive_dfe_impl : public adaptive_dfe {
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private:
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int _sps;
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int _nB, _nF, _nW;
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float _mu;
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float _alpha;
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// module name w.r.t. digitalhf.physical_layer containing a PhysicalLayer class
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std::string _py_module_name;
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boost::python::object _physicalLayer; // class instance of physical layer description
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gr_complex* _taps_samples;
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gr_complex* _taps_symbols;
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gr_complex* _hist_samples;
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gr_complex* _hist_symbols;
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int _hist_sample_index;
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int _hist_symbol_index;
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int _ignore_filter_updates;
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std::vector<gr_complex> _saved_samples;
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uint64_t _sample_counter;
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std::vector<gr::digital::constellation_sptr> _constellations;
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std::vector<float> _npwr;
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std::vector<int> _npwr_counter;
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int _npwr_max_time_constant;
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int _constellation_index;
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std::vector<gr_complex> _samples;
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std::vector<gr_complex> _symbols;
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std::vector<gr_complex> _scramble;
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std::vector<gr_complex> _descrambled_symbols;
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int _symbol_counter;
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bool _need_samples;
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bool _save_soft_decisions;
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std::vector<float> _vec_soft_decisions;
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pmt::pmt_t _msg_port_name;
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pmt::pmt_t _msg_metadata;
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// PLL for doppler tracking
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float _df; // frequency offset in radians per sample
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float _phase; // accumulated phase for frequency correction
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const float _b[2];
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float _ud;
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enum state {
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WAIT_FOR_PREAMBLE,
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INITIAL_DOPPLER_ESTIMATE,
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INITIAL_DOPPLER_ESTIMATE_CONTINUE,
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DO_FILTER
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} _state;
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void update_constellations(boost::python::object obj);
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bool update_frame_information(boost::python::object obj);
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bool update_doppler_information(boost::python::object obj);
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void update_local_oscillator();
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gr_complex filter();
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void recenter_filter_taps();
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void insert_sample(gr_complex z);
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void update_pll(float doppler);
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bool get_correlation_tag(uint64_t i, uint64_t& offset, float& phase_est);
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public:
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adaptive_dfe_impl(int sps, // samples per symbol
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int nB, // number of forward FIR taps
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int nF, // number of backward FIR taps
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int nW, // number of symbol taps
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float mu,
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float alpha,
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std::string physical_layer_description);
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virtual ~adaptive_dfe_impl();
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void forecast (int noutput_items, gr_vector_int &ninput_items_required);
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virtual bool start();
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virtual bool stop();
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virtual int general_work(int noutput_items,
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gr_vector_int &ninput_items,
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gr_vector_const_void_star &input_items,
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gr_vector_void_star &output_items);
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virtual void set_mu(float mu) { _mu = mu; }
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virtual void set_mode(std::string);
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} ;
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} // namespace digitalhf
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} // namespace gr
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#endif /* INCLUDED_DIGITALHF_ADAPTIVE_DFE_IMPL_H */
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