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mirror of https://github.com/gnss-sdr/gnss-sdr synced 2025-01-16 12:12:57 +00:00

Add a simple CN0 smoother

This commit is contained in:
Carles Fernandez 2019-04-25 08:50:21 +02:00
parent 52ae97ed4e
commit 50d4db9c05
5 changed files with 221 additions and 3 deletions

View File

@ -439,6 +439,7 @@ dll_pll_veml_tracking::dll_pll_veml_tracking(const Dll_Pll_Conf &conf_) : gr::bl
d_carrier_lock_fail_counter = 0;
d_carrier_lock_threshold = trk_parameters.carrier_lock_th;
d_Prompt_Data = static_cast<gr_complex *>(volk_gnsssdr_malloc(sizeof(gr_complex), volk_gnsssdr_get_alignment()));
d_cn0_smoother = Exponential_Smoother();
d_acquisition_gnss_synchro = nullptr;
d_channel = 0;
@ -848,9 +849,12 @@ bool dll_pll_veml_tracking::cn0_and_tracking_lock_status(double coh_integration_
d_cn0_estimation_counter++;
return true;
}
d_cn0_estimation_counter = 0;
d_Prompt_buffer[d_cn0_estimation_counter % trk_parameters.cn0_samples] = d_P_accu;
d_cn0_estimation_counter++;
// Code lock indicator
d_CN0_SNV_dB_Hz = cn0_svn_estimator(d_Prompt_buffer, trk_parameters.cn0_samples, coh_integration_time_s);
double d_CN0_SNV_dB_Hz_raw = cn0_svn_estimator(d_Prompt_buffer, trk_parameters.cn0_samples, coh_integration_time_s);
d_CN0_SNV_dB_Hz = d_cn0_smoother.smooth(d_CN0_SNV_dB_Hz_raw);
// Carrier lock indicator
d_carrier_lock_test = carrier_lock_detector(d_Prompt_buffer, trk_parameters.cn0_samples);
// Loss of lock detection
@ -1593,7 +1597,7 @@ int dll_pll_veml_tracking::general_work(int noutput_items __attribute__((unused)
DLOG(INFO) << "Number of samples between Acquisition and Tracking = " << acq_trk_diff_samples << " ( " << acq_trk_diff_seconds << " s)";
DLOG(INFO) << "PULL-IN Doppler [Hz] = " << d_carrier_doppler_hz
<< ". PULL-IN Code Phase [samples] = " << d_acq_code_phase_samples;
d_cn0_smoother.reset();
consume_each(samples_offset); // shift input to perform alignment with local replica
return 0;
}

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@ -34,6 +34,7 @@
#include "cpu_multicorrelator_real_codes.h"
#include "dll_pll_conf.h"
#include "exponential_smoother.h"
#include "tracking_FLL_PLL_filter.h" // for PLL/FLL filter
#include "tracking_loop_filter.h" // for DLL filter
#include <boost/circular_buffer.hpp>
@ -197,6 +198,7 @@ private:
double d_carrier_lock_threshold;
boost::circular_buffer<gr_complex> d_Prompt_circular_buffer;
gr_complex *d_Prompt_buffer;
Exponential_Smoother d_cn0_smoother;
// file dump
std::ofstream d_dump_file;

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@ -43,6 +43,7 @@ set(TRACKING_LIB_SOURCES
tracking_loop_filter.cc
dll_pll_conf.cc
bayesian_estimation.cc
exponential_smoother.cc
)
set(TRACKING_LIB_HEADERS
@ -59,6 +60,7 @@ set(TRACKING_LIB_HEADERS
tracking_loop_filter.h
dll_pll_conf.h
bayesian_estimation.h
exponential_smoother.h
)
if(ENABLE_FPGA)

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@ -0,0 +1,139 @@
/*!
* \file exponential_smoother.cc
* \brief Class that implements an exponential smoother
* \authors Carles Fernandez, 2019 cfernandez@cttc.es
*
* Class that implements a first-order exponential smoother.
*
* -------------------------------------------------------------------------
*
* Copyright (C) 2010-2019 (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 <https://www.gnu.org/licenses/>.
*
* -------------------------------------------------------------------------
*/
#include "exponential_smoother.h"
#include <iostream> ///////////////
#include <iterator>
#include <numeric>
Exponential_Smoother::Exponential_Smoother()
{
alpha_ = 0.001;
old_value_ = 0.0;
one_minus_alpha_ = 1.0 - alpha_;
samples_for_initialization_ = 500;
initializing_ = true;
init_counter_ = 0;
min_value_ = 25;
offset_ = 9.0;
init_buffer_.reserve(samples_for_initialization_);
}
Exponential_Smoother::~Exponential_Smoother() = default;
void Exponential_Smoother::set_alpha(float alpha)
{
alpha_ = alpha;
if (alpha_ < 0)
{
alpha_ = 0;
}
if (alpha_ > 1)
{
alpha_ = 1;
}
one_minus_alpha_ = 1.0 - alpha_;
}
void Exponential_Smoother::set_offset(float offset)
{
offset_ = offset;
}
void Exponential_Smoother::set_samples_for_initialization(int num_samples)
{
int ns = num_samples;
if (ns <= 0)
{
ns = 1;
}
samples_for_initialization_ = num_samples;
init_buffer_.reserve(samples_for_initialization_);
}
void Exponential_Smoother::reset()
{
initializing_ = true;
init_counter_ = 0;
init_buffer_.clear();
}
void Exponential_Smoother::set_min_value(float value)
{
min_value_ = value;
}
double Exponential_Smoother::smooth(double raw)
{
float raw_f = static_cast<float>(raw);
double smooth_d = static_cast<double>((this)->smooth(raw_f));
return smooth_d;
}
float Exponential_Smoother::smooth(float raw)
{
float smoothed_value;
if (initializing_ == true)
{
init_counter_++;
smoothed_value = raw;
init_buffer_.push_back(smoothed_value);
if (init_counter_ == samples_for_initialization_)
{
old_value_ = std::accumulate(std::begin(init_buffer_), std::end(init_buffer_), 0.0) / static_cast<float>(init_buffer_.size());
if (old_value_ < (min_value_ + offset_))
{
// flush buffer and start again
init_counter_ = 0;
init_buffer_.clear();
}
else
{
initializing_ = false;
}
}
}
else
{
smoothed_value = alpha_ * raw + one_minus_alpha_ * old_value_;
old_value_ = smoothed_value;
}
return smoothed_value;
}

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@ -0,0 +1,71 @@
/*!
* \file exponential_smoother.h
* \brief Class that implements an exponential smoother
* \authors Carles Fernandez, 2019 cfernandez@cttc.es
*
* Class that implements a first-order exponential smoother.
*
* -------------------------------------------------------------------------
*
* Copyright (C) 2010-2019 (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 <https://www.gnu.org/licenses/>.
*
* -------------------------------------------------------------------------
*/
#ifndef GNSS_SDR_EXPONENTIAL_SMOOTHER_H_
#define GNSS_SDR_EXPONENTIAL_SMOOTHER_H_
#include <vector>
/*! \brief
* Class that implements a first-order exponential smoother.
*
* smoothed_value[k] = alpha * raw + (1-alpha) * smoothed_value[k-1]
*
* The length of the initialization can be controlled with
* set_samples_for_initialization(int num_samples)
*/
class Exponential_Smoother
{
public:
Exponential_Smoother(); //!< Constructor
~Exponential_Smoother(); //!< Destructor
void set_alpha(float alpha); //!< 0 < alpha < 1. The higher, the most responsive, but more variance. Default value: 0.0001
void set_samples_for_initialization(int num_samples); //!< Number of samples averaged for initialization. Default value:
void reset();
void set_min_value(float value);
void set_offset(float offset);
float smooth(float raw);
double smooth(double raw);
private:
float alpha_; // takes value 0.0001 if not set
int samples_for_initialization_;
float one_minus_alpha_;
float old_value_;
float min_value_;
float offset_;
bool initializing_;
int init_counter_;
std::vector<float> init_buffer_;
};
#endif // GNSS_SDR_EXPONENTIAL_SMOOTHER_H_