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