mirror of https://github.com/gnss-sdr/gnss-sdr
334 lines
11 KiB
C++
334 lines
11 KiB
C++
/*!
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* \file galileo_e5a_noncoherent_iq_acquisition_caf.cc
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* \brief Adapts a PCPS acquisition block to an AcquisitionInterface for
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* Galileo E5a data and pilot Signals
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* \author Marc Sales, 2014. marcsales92(at)gmail.com
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* \based on work from:
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* <ul>
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* <li> Javier Arribas, 2011. jarribas(at)cttc.es
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* <li> Luis Esteve, 2012. luis(at)epsilon-formacion.com
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* <li> Marc Molina, 2013. marc.molina.pena@gmail.com
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* </ul>
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*
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* -------------------------------------------------------------------------
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*
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* Copyright (C) 2010-2018 (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 <https://www.gnu.org/licenses/>.
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*
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* -------------------------------------------------------------------------
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*/
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#include "galileo_e5a_noncoherent_iq_acquisition_caf.h"
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#include <boost/lexical_cast.hpp>
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#include <boost/math/distributions/exponential.hpp>
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#include <glog/logging.h>
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#include "galileo_e5_signal_processing.h"
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#include "Galileo_E5a.h"
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#include "configuration_interface.h"
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#include "gnss_sdr_flags.h"
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using google::LogMessage;
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GalileoE5aNoncoherentIQAcquisitionCaf::GalileoE5aNoncoherentIQAcquisitionCaf(
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ConfigurationInterface* configuration, std::string role,
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unsigned int in_streams, unsigned int out_streams) : role_(role), in_streams_(in_streams), out_streams_(out_streams)
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{
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configuration_ = configuration;
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std::string default_item_type = "gr_complex";
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std::string default_dump_filename = "../data/acquisition.dat";
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DLOG(INFO) << "role " << role;
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item_type_ = configuration_->property(role + ".item_type", default_item_type);
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long fs_in_deprecated = configuration_->property("GNSS-SDR.internal_fs_hz", 32000000);
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fs_in_ = configuration_->property("GNSS-SDR.internal_fs_sps", fs_in_deprecated);
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if_ = configuration_->property(role + ".if", 0);
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dump_ = configuration_->property(role + ".dump", false);
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doppler_max_ = configuration_->property(role + ".doppler_max", 5000);
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if (FLAGS_doppler_max != 0) doppler_max_ = FLAGS_doppler_max;
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CAF_window_hz_ = configuration_->property(role + ".CAF_window_hz", 0);
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Zero_padding = configuration_->property(role + ".Zero_padding", 0);
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sampled_ms_ = configuration_->property(role + ".coherent_integration_time_ms", 1);
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if (sampled_ms_ > 3)
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{
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sampled_ms_ = 3;
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DLOG(INFO) << "Coherent integration time should be 3 ms or less. Changing to 3ms ";
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std::cout << "Too high coherent integration time. Changing to 3ms" << std::endl;
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}
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if (Zero_padding > 0)
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{
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sampled_ms_ = 2;
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DLOG(INFO) << "Zero padding activated. Changing to 1ms code + 1ms zero padding ";
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std::cout << "Zero padding activated. Changing to 1ms code + 1ms zero padding" << std::endl;
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}
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max_dwells_ = configuration_->property(role + ".max_dwells", 1);
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dump_filename_ = configuration_->property(role + ".dump_filename", default_dump_filename);
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bit_transition_flag_ = configuration_->property(role + ".bit_transition_flag", false);
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//--- Find number of samples per spreading code (1ms)-------------------------
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code_length_ = round(static_cast<double>(fs_in_) / Galileo_E5a_CODE_CHIP_RATE_HZ * static_cast<double>(Galileo_E5a_CODE_LENGTH_CHIPS));
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vector_length_ = code_length_ * sampled_ms_;
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codeI_ = new gr_complex[vector_length_];
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codeQ_ = new gr_complex[vector_length_];
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both_signal_components = false;
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std::string sig_ = configuration_->property("Channel.signal", std::string("5X"));
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if (sig_.at(0) == '5' && sig_.at(1) == 'X')
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{
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both_signal_components = true;
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}
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if (item_type_.compare("gr_complex") == 0)
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{
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item_size_ = sizeof(gr_complex);
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acquisition_cc_ = galileo_e5a_noncoherentIQ_make_acquisition_caf_cc(sampled_ms_, max_dwells_,
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doppler_max_, if_, fs_in_, code_length_, code_length_, bit_transition_flag_,
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dump_, dump_filename_, both_signal_components, CAF_window_hz_, Zero_padding);
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}
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else
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{
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item_size_ = sizeof(gr_complex);
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LOG(WARNING) << item_type_ << " unknown acquisition item type";
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}
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channel_ = 0;
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threshold_ = 0.0;
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doppler_step_ = 0;
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gnss_synchro_ = 0;
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}
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GalileoE5aNoncoherentIQAcquisitionCaf::~GalileoE5aNoncoherentIQAcquisitionCaf()
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{
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delete[] codeI_;
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delete[] codeQ_;
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}
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void GalileoE5aNoncoherentIQAcquisitionCaf::set_channel(unsigned int channel)
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{
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channel_ = channel;
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if (item_type_.compare("gr_complex") == 0)
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{
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acquisition_cc_->set_channel(channel_);
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}
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}
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void GalileoE5aNoncoherentIQAcquisitionCaf::set_threshold(float threshold)
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{
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float pfa = configuration_->property(role_ + boost::lexical_cast<std::string>(channel_) + ".pfa", 0.0);
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if (pfa == 0.0) pfa = configuration_->property(role_ + ".pfa", 0.0);
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if (pfa == 0.0)
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{
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threshold_ = threshold;
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}
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else
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{
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threshold_ = calculate_threshold(pfa);
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}
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DLOG(INFO) << "Channel " << channel_ << " Threshold = " << threshold_;
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if (item_type_.compare("gr_complex") == 0)
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{
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acquisition_cc_->set_threshold(threshold_);
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}
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}
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void GalileoE5aNoncoherentIQAcquisitionCaf::set_doppler_max(unsigned int doppler_max)
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{
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doppler_max_ = doppler_max;
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if (item_type_.compare("gr_complex") == 0)
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{
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acquisition_cc_->set_doppler_max(doppler_max_);
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}
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}
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void GalileoE5aNoncoherentIQAcquisitionCaf::set_doppler_step(unsigned int doppler_step)
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{
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doppler_step_ = doppler_step;
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if (item_type_.compare("gr_complex") == 0)
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{
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acquisition_cc_->set_doppler_step(doppler_step_);
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}
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}
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void GalileoE5aNoncoherentIQAcquisitionCaf::set_gnss_synchro(
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Gnss_Synchro* gnss_synchro)
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{
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gnss_synchro_ = gnss_synchro;
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if (item_type_.compare("gr_complex") == 0)
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{
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acquisition_cc_->set_gnss_synchro(gnss_synchro_);
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}
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}
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signed int GalileoE5aNoncoherentIQAcquisitionCaf::mag()
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{
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if (item_type_.compare("gr_complex") == 0)
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{
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return acquisition_cc_->mag();
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}
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else
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{
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return 0;
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}
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}
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void GalileoE5aNoncoherentIQAcquisitionCaf::init()
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{
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acquisition_cc_->init();
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//set_local_code();
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}
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void GalileoE5aNoncoherentIQAcquisitionCaf::set_local_code()
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{
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if (item_type_.compare("gr_complex") == 0)
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{
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std::complex<float>* codeI = new std::complex<float>[code_length_];
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std::complex<float>* codeQ = new std::complex<float>[code_length_];
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if (gnss_synchro_->Signal[0] == '5' && gnss_synchro_->Signal[1] == 'X')
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{
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char a[3];
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strcpy(a, "5I");
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galileo_e5_a_code_gen_complex_sampled(codeI, a,
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gnss_synchro_->PRN, fs_in_, 0);
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strcpy(a, "5Q");
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galileo_e5_a_code_gen_complex_sampled(codeQ, a,
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gnss_synchro_->PRN, fs_in_, 0);
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}
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else
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{
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galileo_e5_a_code_gen_complex_sampled(codeI, gnss_synchro_->Signal,
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gnss_synchro_->PRN, fs_in_, 0);
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}
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// WARNING: 3ms are coherently integrated. Secondary sequence (1,1,1)
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// is generated, and modulated in the 'block'.
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if (Zero_padding == 0) // if no zero_padding
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{
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for (unsigned int i = 0; i < sampled_ms_; i++)
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{
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memcpy(&(codeI_[i * code_length_]), codeI,
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sizeof(gr_complex) * code_length_);
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if (gnss_synchro_->Signal[0] == '5' && gnss_synchro_->Signal[1] == 'X')
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{
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memcpy(&(codeQ_[i * code_length_]), codeQ,
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sizeof(gr_complex) * code_length_);
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}
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}
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}
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else
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{
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// 1ms code + 1ms zero padding
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memcpy(&(codeI_[0]), codeI,
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sizeof(gr_complex) * code_length_);
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if (gnss_synchro_->Signal[0] == '5' && gnss_synchro_->Signal[1] == 'X')
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{
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memcpy(&(codeQ_[0]), codeQ,
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sizeof(gr_complex) * code_length_);
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}
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}
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acquisition_cc_->set_local_code(codeI_, codeQ_);
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delete[] codeI;
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delete[] codeQ;
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}
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}
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void GalileoE5aNoncoherentIQAcquisitionCaf::reset()
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{
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if (item_type_.compare("gr_complex") == 0)
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{
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acquisition_cc_->set_active(true);
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}
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}
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float GalileoE5aNoncoherentIQAcquisitionCaf::calculate_threshold(float pfa)
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{
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//Calculate the threshold
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unsigned int frequency_bins = 0;
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for (int doppler = static_cast<int>(-doppler_max_); doppler <= static_cast<int>(doppler_max_); doppler += doppler_step_)
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{
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frequency_bins++;
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}
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DLOG(INFO) << "Channel " << channel_ << " Pfa = " << pfa;
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unsigned int ncells = vector_length_ * frequency_bins;
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double exponent = 1 / static_cast<double>(ncells);
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double val = pow(1.0 - pfa, exponent);
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double lambda = double(vector_length_);
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boost::math::exponential_distribution<double> mydist(lambda);
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float threshold = static_cast<float>(quantile(mydist, val));
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return threshold;
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}
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void GalileoE5aNoncoherentIQAcquisitionCaf::set_state(int state)
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{
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acquisition_cc_->set_state(state);
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}
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void GalileoE5aNoncoherentIQAcquisitionCaf::connect(gr::top_block_sptr top_block)
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{
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if (top_block)
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{ /* top_block is not null */
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};
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// Nothing to connect internally
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}
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void GalileoE5aNoncoherentIQAcquisitionCaf::disconnect(gr::top_block_sptr top_block)
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{
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if (top_block)
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{ /* top_block is not null */
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};
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// Nothing to disconnect internally
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}
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gr::basic_block_sptr GalileoE5aNoncoherentIQAcquisitionCaf::get_left_block()
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{
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return acquisition_cc_;
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}
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gr::basic_block_sptr GalileoE5aNoncoherentIQAcquisitionCaf::get_right_block()
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{
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return acquisition_cc_;
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}
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