mirror of https://github.com/gnss-sdr/gnss-sdr
178 lines
6.2 KiB
C++
178 lines
6.2 KiB
C++
/*!
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* \file fir_filter.cc
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* \brief Adapts a gnuradio gr_fir_filter designed with gr_remez
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* \author Luis Esteve, 2012. luis(at)epsilon-formacion.com
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*
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* -------------------------------------------------------------------------
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*
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* Copyright (C) 2010-2012 (see AUTHORS file for a list of contributors)
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*
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* GNSS-SDR is a software defined Global Navigation
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* Satellite Systems receiver
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*
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* This file is part of GNSS-SDR.
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*
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* GNSS-SDR 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 of the License, or
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* at your option) any later version.
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*
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* GNSS-SDR 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 GNSS-SDR. If not, see <http://www.gnu.org/licenses/>.
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*
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* -------------------------------------------------------------------------
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*/
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#include "fir_filter.h"
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#include "configuration_interface.h"
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#include <string>
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#include <boost/lexical_cast.hpp>
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#include <gnuradio/filter/pm_remez.h>
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#include <glog/log_severity.h>
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#include <glog/logging.h>
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using google::LogMessage;
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FirFilter::FirFilter(ConfigurationInterface* configuration, std::string role,
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unsigned int in_streams, unsigned int out_streams,
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boost::shared_ptr<gr::msg_queue> queue) :
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config_(configuration), role_(role), in_streams_(in_streams),
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out_streams_(out_streams), queue_(queue)
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{
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size_t item_size;
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(*this).init();
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if ((taps_item_type_.compare("float") == 0) && (input_item_type_.compare("gr_complex") == 0)
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&& (output_item_type_.compare("gr_complex") == 0))
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{
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item_size = sizeof(gr_complex);
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fir_filter_ccf_ = gr::filter::fir_filter_ccf::make(1, taps_);
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DLOG(INFO) << "input_filter(" << fir_filter_ccf_->unique_id() << ")";
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}
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else
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{
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LOG_AT_LEVEL(ERROR) << taps_item_type_ << " unknown input filter item type";
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}
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if (dump_)
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{
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DLOG(INFO) << "Dumping output into file " << dump_filename_;
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file_sink_ = gr::blocks::file_sink::make(item_size, dump_filename_.c_str());
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}
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}
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FirFilter::~FirFilter()
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{}
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void FirFilter::connect(gr::top_block_sptr top_block)
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{
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if (dump_)
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{
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top_block->connect(fir_filter_ccf_, 0, file_sink_, 0);
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}
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else
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{
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DLOG(INFO) << "Nothing to connect internally";
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}
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}
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void FirFilter::disconnect(gr::top_block_sptr top_block)
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{
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if (dump_)
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{
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top_block->connect(fir_filter_ccf_, 0, file_sink_, 0);
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}
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}
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gr::basic_block_sptr FirFilter::get_left_block()
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{
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return fir_filter_ccf_;
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}
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gr::basic_block_sptr FirFilter::get_right_block()
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{
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return fir_filter_ccf_;
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}
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void FirFilter::init()
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{
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std::string default_input_item_type = "gr_complex";
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std::string default_output_item_type = "gr_complex";
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std::string default_taps_item_type = "float";
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std::string default_dump_filename = "../data/input_filter.dat";
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int default_number_of_taps = 6;
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unsigned int default_number_of_bands = 2;
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std::vector<double> default_bands = { 0.0, 0.4, 0.6, 1.0 };
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std::vector<double> default_ampl = { 1.0, 1.0, 0.0, 0.0 };
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std::vector<double> default_error_w = { 1.0, 1.0 };
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std::string default_filter_type = "bandpass";
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int default_grid_density = 16;
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DLOG(INFO) << "role " << role_;
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input_item_type_ = config_->property(role_ + ".input_item_type", default_input_item_type);
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output_item_type_ = config_->property(role_ + ".output_item_type", default_output_item_type);
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taps_item_type_ = config_->property(role_ + ".taps_item_type", default_taps_item_type);
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dump_ = config_->property(role_ + ".dump", false);
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dump_filename_ = config_->property(role_ + ".dump_filename", default_dump_filename);
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int number_of_taps = config_->property(role_ + ".number_of_taps", default_number_of_taps);
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unsigned int number_of_bands = config_->property(role_ + ".number_of_bands", default_number_of_bands);
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std::vector<double> bands;
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std::vector<double> ampl;
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std::vector<double> error_w;
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std::string option;
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double option_value;
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for (unsigned int i = 0; i < number_of_bands; i++)
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{
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option = ".band" + boost::lexical_cast<std::string>(i + 1) + "_begin";
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option_value = config_->property(role_ + option, default_bands[i]);
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bands.push_back(option_value);
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option = ".band" + boost::lexical_cast<std::string>(i + 1) + "_end";
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option_value = config_->property(role_ + option, default_bands[i]);
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bands.push_back(option_value);
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option = ".ampl" + boost::lexical_cast<std::string>(i + 1) + "_begin";
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option_value = config_->property(role_ + option, default_bands[i]);
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ampl.push_back(option_value);
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option = ".ampl" + boost::lexical_cast<std::string>(i + 1) + "_end";
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option_value = config_->property(role_ + option, default_bands[i]);
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ampl.push_back(option_value);
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option = ".band" + boost::lexical_cast<std::string>(i + 1) + "_error";
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option_value = config_->property(role_ + option, default_bands[i]);
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error_w.push_back(option_value);
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}
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std::string filter_type = config_->property(role_ + ".filter_type", default_filter_type);
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int grid_density = config_->property(role_ + ".grid_density", default_grid_density);
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// pm_remez implements the Parks-McClellan FIR filter design.
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// It calculates the optimal (in the Chebyshev/minimax sense) FIR filter
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// impulse response given a set of band edges, the desired response on
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// those bands, and the weight given to the error in those bands.
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std::vector<double> taps_d = gr::filter::pm_remez(number_of_taps - 1, bands, ampl, error_w, filter_type, grid_density);
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taps_.reserve(taps_d.size());
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for (std::vector<double>::iterator it = taps_d.begin(); it != taps_d.end(); it++)
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{
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taps_.push_back(float(*it));
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}
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}
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