mirror of
https://github.com/gnss-sdr/gnss-sdr
synced 2025-07-04 19:12:57 +00:00
181 lines
6.3 KiB
C++
Executable File
181 lines
6.3 KiB
C++
Executable File
/*!
|
|
* \file pvt_kf.cc
|
|
* \brief Kalman Filter for Position and Velocity
|
|
* \author Javier Arribas, 2023. jarribas(at)cttc.es
|
|
* \author Miguel Angel Gomez Lopez, 2023. gomezlma(at)inta.es
|
|
*
|
|
*
|
|
* -----------------------------------------------------------------------------
|
|
*
|
|
* GNSS-SDR is a Global Navigation Satellite System software-defined receiver.
|
|
* This file is part of GNSS-SDR.
|
|
*
|
|
* Copyright (C) 2010-2023 (see AUTHORS file for a list of contributors)
|
|
* SPDX-License-Identifier: GPL-3.0-or-later
|
|
*
|
|
* -----------------------------------------------------------------------------
|
|
*/
|
|
|
|
#include "pvt_kf.h"
|
|
#include <glog/logging.h>
|
|
|
|
|
|
void Pvt_Kf::init_Kf(const arma::vec& p,
|
|
const arma::vec& v,
|
|
const arma::vec& res_pv,
|
|
double solver_interval_s,
|
|
bool static_scenario_sd,
|
|
bool estatic_measures_sd,
|
|
double measures_ecef_pos_sd_m,
|
|
double measures_ecef_vel_sd_ms,
|
|
double system_ecef_pos_sd_m,
|
|
double system_ecef_vel_sd_ms)
|
|
{
|
|
// Kalman Filter class variables
|
|
const double Ti = solver_interval_s;
|
|
if (static_scenario_sd)
|
|
{
|
|
scenario_static = true;
|
|
}
|
|
else
|
|
{
|
|
scenario_static = false;
|
|
}
|
|
|
|
d_F = {{1.0, 0.0, 0.0, Ti, 0.0, 0.0},
|
|
{0.0, 1.0, 0.0, 0.0, Ti, 0.0},
|
|
{0.0, 0.0, 1.0, 0.0, 0.0, Ti},
|
|
{0.0, 0.0, 0.0, 1.0, 0.0, 0.0},
|
|
{0.0, 0.0, 0.0, 0.0, 1.0, 0.0},
|
|
{0.0, 0.0, 0.0, 0.0, 0.0, 1.0}};
|
|
|
|
d_H = arma::eye(6, 6);
|
|
|
|
// measurement matrix static covariances
|
|
if (estatic_measures_sd)
|
|
{
|
|
d_R = {{pow(measures_ecef_pos_sd_m, 2.0), 0.0, 0.0, 0.0, 0.0, 0.0},
|
|
{0.0, pow(measures_ecef_pos_sd_m, 2.0), 0.0, 0.0, 0.0, 0.0},
|
|
{0.0, 0.0, pow(measures_ecef_pos_sd_m, 2.0), 0.0, 0.0, 0.0},
|
|
{0.0, 0.0, 0.0, pow(measures_ecef_vel_sd_ms, 2.0), 0.0, 0.0},
|
|
{0.0, 0.0, 0.0, 0.0, pow(measures_ecef_vel_sd_ms, 2.0), 0.0},
|
|
{0.0, 0.0, 0.0, 0.0, 0.0, pow(measures_ecef_vel_sd_ms, 2.0)}};
|
|
|
|
d_static = true;
|
|
}
|
|
else
|
|
{
|
|
d_R = {{res_pv[0], res_pv[3], res_pv[5], 0.0, 0.0, 0.0},
|
|
{res_pv[3], res_pv[1], res_pv[4], 0.0, 0.0, 0.0},
|
|
{res_pv[5], res_pv[4], res_pv[2], 0.0, 0.0, 0.0},
|
|
{0.0, 0.0, 0.0, res_pv[6], res_pv[9], res_pv[11]},
|
|
{0.0, 0.0, 0.0, res_pv[9], res_pv[7], res_pv[10]},
|
|
{0.0, 0.0, 0.0, res_pv[11], res_pv[10], res_pv[8]}};
|
|
|
|
d_static = false;
|
|
}
|
|
// system covariance matrix (static)
|
|
d_Q = {{pow(system_ecef_pos_sd_m, 2.0), 0.0, 0.0, 0.0, 0.0, 0.0},
|
|
{0.0, pow(system_ecef_pos_sd_m, 2.0), 0.0, 0.0, 0.0, 0.0},
|
|
{0.0, 0.0, pow(system_ecef_pos_sd_m, 2.0), 0.0, 0.0, 0.0},
|
|
{0.0, 0.0, 0.0, pow(system_ecef_vel_sd_ms, 2.0), 0.0, 0.0},
|
|
{0.0, 0.0, 0.0, 0.0, pow(system_ecef_vel_sd_ms, 2.0), 0.0},
|
|
{0.0, 0.0, 0.0, 0.0, 0.0, pow(system_ecef_vel_sd_ms, 2.0)}};
|
|
|
|
// initial Kalman covariance matrix
|
|
d_P_old_old = {{pow(system_ecef_pos_sd_m, 2.0), 0.0, 0.0, 0.0, 0.0, 0.0},
|
|
{0.0, pow(system_ecef_pos_sd_m, 2.0), 0.0, 0.0, 0.0, 0.0},
|
|
{0.0, 0.0, pow(system_ecef_pos_sd_m, 2.0), 0.0, 0.0, 0.0},
|
|
{0.0, 0.0, 0.0, pow(system_ecef_vel_sd_ms, 2.0), 0.0, 0.0},
|
|
{0.0, 0.0, 0.0, 0.0, pow(system_ecef_vel_sd_ms, 2.0), 0.0},
|
|
{0.0, 0.0, 0.0, 0.0, 0.0, pow(system_ecef_vel_sd_ms, 2.0)}};
|
|
|
|
// states: position ecef [m], velocity ecef [m/s]
|
|
d_x_old_old = arma::zeros(6);
|
|
d_x_old_old.subvec(0, 2) = p;
|
|
d_x_old_old.subvec(3, 5) = v;
|
|
|
|
d_initialized = true;
|
|
|
|
DLOG(INFO) << "Ti: " << Ti;
|
|
DLOG(INFO) << "F: " << d_F;
|
|
DLOG(INFO) << "H: " << d_H;
|
|
DLOG(INFO) << "R: " << d_R;
|
|
DLOG(INFO) << "Q: " << d_Q;
|
|
DLOG(INFO) << "P: " << d_P_old_old;
|
|
DLOG(INFO) << "x: " << d_x_old_old;
|
|
}
|
|
|
|
|
|
bool Pvt_Kf::is_initialized() const
|
|
{
|
|
return d_initialized;
|
|
}
|
|
|
|
|
|
void Pvt_Kf::reset_Kf()
|
|
{
|
|
d_initialized = false;
|
|
}
|
|
|
|
|
|
void Pvt_Kf::run_Kf(const arma::vec& p, const arma::vec& v, const arma::vec& res_pv)
|
|
{
|
|
// bool static_scenario = true;
|
|
if (d_initialized)
|
|
{
|
|
// Kalman loop
|
|
// Prediction
|
|
d_x_new_old = d_F * d_x_old_old;
|
|
d_P_new_old = d_F * d_P_old_old * d_F.t() + d_Q;
|
|
|
|
// Measurement update
|
|
try
|
|
{
|
|
if (!d_static)
|
|
{
|
|
// Measurement residuals non-static update
|
|
d_R = {{res_pv[0], res_pv[3], res_pv[5], 0.0, 0.0, 0.0},
|
|
{res_pv[3], res_pv[1], res_pv[4], 0.0, 0.0, 0.0},
|
|
{res_pv[5], res_pv[4], res_pv[2], 0.0, 0.0, 0.0},
|
|
{0.0, 0.0, 0.0, res_pv[6], res_pv[9], res_pv[11]},
|
|
{0.0, 0.0, 0.0, res_pv[9], res_pv[7], res_pv[10]},
|
|
{0.0, 0.0, 0.0, res_pv[11], res_pv[10], res_pv[8]}};
|
|
}
|
|
arma::vec z = arma::zeros(6);
|
|
if (scenario_static)
|
|
{
|
|
d_x_new_old[3] = 0;
|
|
d_x_new_old[4] = 0;
|
|
d_x_new_old[5] = 0;
|
|
}
|
|
|
|
z = arma::join_cols(p, v);
|
|
arma::mat K = d_P_new_old * d_H.t() * arma::inv(d_H * d_P_new_old * d_H.t() + d_R); // Kalman gain
|
|
|
|
d_x_new_new = d_x_new_old + K * (z - d_H * d_x_new_old);
|
|
arma::mat A = (arma::eye(6, 6) - K * d_H);
|
|
d_P_new_new = A * d_P_new_old * A.t() + K * d_R * K.t();
|
|
|
|
// prepare data for next KF epoch
|
|
d_x_old_old = d_x_new_new;
|
|
d_P_old_old = d_P_new_new;
|
|
}
|
|
catch (...)
|
|
{
|
|
d_x_new_new = d_x_new_old;
|
|
this->reset_Kf();
|
|
}
|
|
}
|
|
}
|
|
|
|
|
|
void Pvt_Kf::get_pv_Kf(arma::vec& p, arma::vec& v) const
|
|
{
|
|
if (d_initialized)
|
|
{
|
|
p = d_x_new_new.subvec(0, 2);
|
|
v = d_x_new_new.subvec(3, 5);
|
|
}
|
|
}
|