mirror of
https://github.com/gnss-sdr/gnss-sdr
synced 2024-09-20 19:29:48 +00:00
328 lines
11 KiB
C++
328 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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* GNSS-SDR is a Global Navigation Satellite System software-defined receiver.
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* This file is part of GNSS-SDR.
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*
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* Copyright (C) 2010-2020 (see AUTHORS file for a list of contributors)
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* SPDX-License-Identifier: GPL-3.0-or-later
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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 "Galileo_E5a.h"
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#include "configuration_interface.h"
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#include "galileo_e5_signal_replica.h"
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#include "gnss_sdr_flags.h"
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#include <boost/math/distributions/exponential.hpp>
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#include <glog/logging.h>
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#include <algorithm>
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#if HAS_STD_SPAN
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#include <span>
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namespace own = std;
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#else
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#include <gsl/gsl>
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namespace own = gsl;
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#endif
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GalileoE5aNoncoherentIQAcquisitionCaf::GalileoE5aNoncoherentIQAcquisitionCaf(
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const ConfigurationInterface* configuration,
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const std::string& role,
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unsigned int in_streams,
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unsigned int out_streams) : role_(role),
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in_streams_(in_streams),
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out_streams_(out_streams)
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{
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configuration_ = configuration;
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const std::string default_item_type("gr_complex");
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const 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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int64_t 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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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)
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{
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doppler_max_ = FLAGS_doppler_max;
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}
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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\n";
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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\n";
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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_ = static_cast<int>(round(static_cast<double>(fs_in_) / GALILEO_E5A_CODE_CHIP_RATE_CPS * static_cast<double>(GALILEO_E5A_CODE_LENGTH_CHIPS)));
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vector_length_ = code_length_ * sampled_ms_;
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codeI_ = std::vector<std::complex<float>>(vector_length_);
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codeQ_ = std::vector<std::complex<float>>(vector_length_);
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both_signal_components = false;
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bool enable_monitor_output = configuration->property("AcquisitionMonitor.enable_monitor", 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_ == "gr_complex")
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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_, fs_in_, code_length_, code_length_, bit_transition_flag_,
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dump_, dump_filename_, both_signal_components, CAF_window_hz_, Zero_padding, enable_monitor_output);
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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_ = nullptr;
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if (in_streams_ > 1)
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{
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LOG(ERROR) << "This implementation only supports one input stream";
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}
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if (out_streams_ > 0)
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{
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LOG(ERROR) << "This implementation does not provide an output stream";
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}
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}
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void GalileoE5aNoncoherentIQAcquisitionCaf::stop_acquisition()
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{
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acquisition_cc_->set_state(0);
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acquisition_cc_->set_active(false);
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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_ + std::to_string(channel_) + ".pfa", static_cast<float>(0.0));
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if (pfa == 0.0)
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{
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pfa = configuration_->property(role_ + ".pfa", static_cast<float>(0.0));
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}
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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_ == "gr_complex")
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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_ == "gr_complex")
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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_ == "gr_complex")
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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_ == "gr_complex")
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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_ == "gr_complex")
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{
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return static_cast<signed int>(acquisition_cc_->mag());
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}
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return 0;
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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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}
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void GalileoE5aNoncoherentIQAcquisitionCaf::set_local_code()
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{
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if (item_type_ == "gr_complex")
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{
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std::vector<std::complex<float>> codeI(code_length_);
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std::vector<std::complex<float>> codeQ(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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std::array<char, 3> a = {{'5', 'I', '\0'}};
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galileo_e5_a_code_gen_complex_sampled(codeI,
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gnss_synchro_->PRN, a, fs_in_, 0);
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std::array<char, 3> b = {{'5', 'Q', '\0'}};
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galileo_e5_a_code_gen_complex_sampled(codeQ,
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gnss_synchro_->PRN, b, fs_in_, 0);
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}
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else
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{
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std::array<char, 3> signal_type_ = {{'5', 'X', '\0'}};
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galileo_e5_a_code_gen_complex_sampled(codeI,
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gnss_synchro_->PRN, signal_type_, 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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own::span<gr_complex> codeQ_span(codeQ_.data(), vector_length_);
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own::span<gr_complex> codeI_span(codeI_.data(), vector_length_);
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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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std::copy_n(codeI.data(), code_length_, codeI_span.subspan(i * code_length_, code_length_).data());
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if (gnss_synchro_->Signal[0] == '5' && gnss_synchro_->Signal[1] == 'X')
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{
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std::copy_n(codeQ.data(), code_length_, codeQ_span.subspan(i * code_length_, code_length_).data());
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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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std::copy_n(codeI.data(), code_length_, codeI_.data());
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if (gnss_synchro_->Signal[0] == '5' && gnss_synchro_->Signal[1] == 'X')
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{
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std::copy_n(codeQ.data(), code_length_, codeQ_.data());
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}
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}
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acquisition_cc_->set_local_code(codeI_.data(), codeQ_.data());
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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_ == "gr_complex")
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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) const
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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 += static_cast<int>(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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auto lambda = static_cast<double>(vector_length_);
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boost::math::exponential_distribution<double> mydist(lambda);
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auto 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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