gnss-sdr/src/algorithms/tracking/libs/nonlinear_tracking.h

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/*!
* \file nonlinear_tracking.h
* \brief Interface of a library for nonlinear tracking algorithms
*
* CubatureFilter implements the functionality of the Cubature Kalman
* Filter, which uses multidimensional cubature rules to estimate the
* time evolution of a nonlinear system. UnscentedFilter implements
* an Unscented Kalman Filter which uses Unscented Transform rules to
* perform a similar estimation.
*
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* [1] I Arasaratnam and S Haykin. Cubature kalman filters. IEEE
* Transactions on Automatic Control, 54(6):12541269,2009.
*
* \authors <ul>
* <li> Gerald LaMountain, 2019. gerald(at)ece.neu.edu
* <li> Jordi Vila-Valls 2019. jvila(at)cttc.es
* </ul>
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* -----------------------------------------------------------------------------
*
* GNSS-SDR is a Global Navigation Satellite System software-defined receiver.
* This file is part of GNSS-SDR.
*
* Copyright (C) 2010-2020 (see AUTHORS file for a list of contributors)
* SPDX-License-Identifier: GPL-3.0-or-later
*
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* -----------------------------------------------------------------------------
*/
#ifndef GNSS_SDR_NONLINEAR_TRACKING_H
#define GNSS_SDR_NONLINEAR_TRACKING_H
#if ARMA_NO_BOUND_CHECKING
#define ARMA_NO_DEBUG 1
#endif
#include <armadillo>
#include <gnuradio/gr_complex.h>
/** \addtogroup Tracking
* \{ */
/** \addtogroup Tracking_libs
* \{ */
// Abstract model function
class ModelFunction
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{
public:
ModelFunction(){};
virtual arma::vec operator()(const arma::vec& input) = 0;
virtual ~ModelFunction() = default;
};
class CubatureFilter
{
public:
// Constructors and destructors
CubatureFilter();
explicit CubatureFilter(int nx);
CubatureFilter(const arma::vec& x_pred_0, const arma::mat& P_x_pred_0);
~CubatureFilter() = default;
// Reinitialization function
void initialize(const arma::mat& x_pred_0, const arma::mat& P_x_pred_0);
// Prediction and estimation
void predict_sequential(const arma::vec& x_post, const arma::mat& P_x_post, ModelFunction* transition_fcn, const arma::mat& noise_covariance);
void update_sequential(const arma::vec& z_upd, const arma::vec& x_pred, const arma::mat& P_x_pred, ModelFunction* measurement_fcn, const arma::mat& noise_covariance);
// Getters
arma::mat get_x_pred() const;
arma::mat get_P_x_pred() const;
arma::mat get_x_est() const;
arma::mat get_P_x_est() const;
private:
arma::vec x_pred_out;
arma::mat P_x_pred_out;
arma::vec x_est;
arma::mat P_x_est;
};
class UnscentedFilter
{
public:
// Constructors and destructors
UnscentedFilter();
explicit UnscentedFilter(int nx);
UnscentedFilter(const arma::vec& x_pred_0, const arma::mat& P_x_pred_0);
~UnscentedFilter() = default;
// Reinitialization function
void initialize(const arma::mat& x_pred_0, const arma::mat& P_x_pred_0);
// Prediction and estimation
void predict_sequential(const arma::vec& x_post, const arma::mat& P_x_post, ModelFunction* transition_fcn, const arma::mat& noise_covariance);
void update_sequential(const arma::vec& z_upd, const arma::vec& x_pred, const arma::mat& P_x_pred, ModelFunction* measurement_fcn, const arma::mat& noise_covariance);
// Getters
arma::mat get_x_pred() const;
arma::mat get_P_x_pred() const;
arma::mat get_x_est() const;
arma::mat get_P_x_est() const;
private:
arma::vec x_pred_out;
arma::mat P_x_pred_out;
arma::vec x_est;
arma::mat P_x_est;
};
/** \} */
/** \} */
#endif // GNSS_SDR_NONLINEAR_TRACKING_H