gnss-sdr/src/algorithms/input_filter/gnuradio_blocks/notch_cc.cc

155 lines
6.3 KiB
C++

/*!
* \file notch_cc.cc
* \brief Implements a multi state notch filter algorithm
* \author Antonio Ramos (antonio.ramosdet(at)gmail.com)
*
* -------------------------------------------------------------------------
*
* Copyright (C) 2010-2018 (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 "notch_cc.h"
#include <boost/math/distributions/chi_squared.hpp>
#include <glog/logging.h>
#include <gnuradio/io_signature.h>
#include <volk/volk.h>
#include <cmath>
#include <cstring>
using google::LogMessage;
notch_sptr make_notch_filter(float pfa, float p_c_factor,
int32_t length_, int32_t n_segments_est, int32_t n_segments_reset)
{
return notch_sptr(new Notch(pfa, p_c_factor, length_, n_segments_est, n_segments_reset));
}
Notch::Notch(float pfa,
float p_c_factor,
int32_t length_,
int32_t n_segments_est,
int32_t n_segments_reset) : gr::block("Notch",
gr::io_signature::make(1, 1, sizeof(gr_complex)),
gr::io_signature::make(1, 1, sizeof(gr_complex)))
{
const int32_t alignment_multiple = volk_get_alignment() / sizeof(gr_complex);
set_alignment(std::max(1, alignment_multiple));
set_history(2);
this->pfa = pfa;
noise_pow_est = 0.0;
this->p_c_factor = gr_complex(p_c_factor, 0.0);
this->length_ = length_; // Set the number of samples per segment
filter_state_ = false; // Initial state of the filter
n_deg_fred = 2 * length_; // Number of dregrees of freedom
n_segments = 0;
this->n_segments_est = n_segments_est; // Set the number of segments for noise power estimation
this->n_segments_reset = n_segments_reset; // Set the period (in segments) when the noise power is estimated
z_0 = gr_complex(0.0, 0.0);
boost::math::chi_squared_distribution<float> my_dist_(n_deg_fred);
thres_ = boost::math::quantile(boost::math::complement(my_dist_, pfa));
c_samples = static_cast<gr_complex *>(volk_malloc(length_ * sizeof(gr_complex), volk_get_alignment()));
angle_ = static_cast<float *>(volk_malloc(length_ * sizeof(float), volk_get_alignment()));
power_spect = static_cast<float *>(volk_malloc(length_ * sizeof(float), volk_get_alignment()));
last_out = gr_complex(0.0, 0.0);
d_fft = std::unique_ptr<gr::fft::fft_complex>(new gr::fft::fft_complex(length_, true));
}
Notch::~Notch()
{
volk_free(c_samples);
volk_free(angle_);
volk_free(power_spect);
}
void Notch::forecast(int noutput_items __attribute__((unused)), gr_vector_int &ninput_items_required)
{
for (int &aux : ninput_items_required)
{
aux = length_;
}
}
int Notch::general_work(int noutput_items, gr_vector_int &ninput_items __attribute__((unused)),
gr_vector_const_void_star &input_items, gr_vector_void_star &output_items)
{
int32_t index_out = 0;
float sig2dB = 0.0;
float sig2lin = 0.0;
lv_32fc_t dot_prod_;
const auto *in = reinterpret_cast<const gr_complex *>(input_items[0]);
auto *out = reinterpret_cast<gr_complex *>(output_items[0]);
in++;
while ((index_out + length_) < noutput_items)
{
if ((n_segments < n_segments_est) && (filter_state_ == false))
{
memcpy(d_fft->get_inbuf(), in, sizeof(gr_complex) * length_);
d_fft->execute();
volk_32fc_s32f_power_spectrum_32f(power_spect, d_fft->get_outbuf(), 1.0, length_);
volk_32f_s32f_calc_spectral_noise_floor_32f(&sig2dB, power_spect, 15.0, length_);
sig2lin = std::pow(10.0, (sig2dB / 10.0)) / (static_cast<float>(n_deg_fred));
noise_pow_est = (static_cast<float>(n_segments) * noise_pow_est + sig2lin) / (static_cast<float>(n_segments + 1));
memcpy(out, in, sizeof(gr_complex) * length_);
}
else
{
volk_32fc_x2_conjugate_dot_prod_32fc(&dot_prod_, in, in, length_);
if ((lv_creal(dot_prod_) / noise_pow_est) > thres_)
{
if (filter_state_ == false)
{
filter_state_ = true;
last_out = gr_complex(0, 0);
}
volk_32fc_x2_multiply_conjugate_32fc(c_samples, in, (in - 1), length_);
volk_32fc_s32f_atan2_32f(angle_, c_samples, static_cast<float>(1.0), length_);
for (int32_t aux = 0; aux < length_; aux++)
{
z_0 = std::exp(gr_complex(0, 1) * (*(angle_ + aux)));
*(out + aux) = *(in + aux) - z_0 * (*(in + aux - 1)) + p_c_factor * z_0 * last_out;
last_out = *(out + aux);
}
}
else
{
if (n_segments > n_segments_reset)
{
n_segments = 0;
}
filter_state_ = false;
memcpy(out, in, sizeof(gr_complex) * length_);
}
}
index_out += length_;
n_segments++;
in += length_;
out += length_;
}
consume_each(index_out);
return index_out;
}