#include <gsl/gsl_vector.h>
#include <gsl/gsl_matrix.h>
#include <gsl/gsl_blas.h>
#include <gsl/gsl_math.h>
#include <gsl/gsl_linalg.h>
#include "ukf_math.h"
Go to the source code of this file.
Classes | |
struct | ukf::parameter::ukf_param |
Structure holding the parameters of the Unscented Kalman Filter. More... | |
struct | ukf::parameter::ukf_scalar_state |
Pointer to the function to approximate in the scalar case. More... | |
struct | ukf::parameter::ukf_state |
Structure holding the matrices manipulated by the unscented kalman filter in the vectorial case, for Parameter estimation. More... | |
class | ukf::parameter::EvolutionNoise |
Mother class from which the evolution noises inherit. More... | |
class | ukf::parameter::EvolutionAnneal |
Annealing type evolution noise. More... | |
class | ukf::parameter::EvolutionRLS |
Forgetting type evolution noise. More... | |
class | ukf::parameter::EvolutionRobbinsMonro |
Robbins-Monro evolution noise. More... | |
struct | ukf::state::ukf_param |
Structure holding the parameters of the statistical linearization. More... | |
struct | ukf::state::ukf_state |
Structure holding the matrices manipulated by the statistical linearization in the vectorial case for state estimation. More... | |
class | ukf::state::EvolutionNoise |
Mother class from which the evolution noises inherit. More... | |
class | ukf::state::EvolutionAnneal |
Annealing type evolution noise. More... | |
class | ukf::state::EvolutionRLS |
Forgetting type evolution noise. More... | |
class | ukf::state::EvolutionRobbinsMonro |
Robbins-Monro evolution noise. More... | |
struct | ukf::srstate::ukf_param |
Structure holding the parameters of the statistical linearization. More... | |
struct | ukf::srstate::ukf_state |
Structure holding the matrices manipulated by the statistical linearization in the vectorial case for state estimation. More... | |
Namespaces | |
ukf | |
In this section we implement the Unscented Kalman Filter for parameter estimation and Joint UKF involving the Scaled Unscented Transform detailed in Van der Merwe PhD Thesis. | |
ukf::parameter | |
UKF for parameter estimation. The notations follow "Sigma-Point Kalman Filters for Probabilistic Inference in Dynamic State-Space Models",p93, PhD, van Der Merwe. | |
ukf::state | |
UKF for state estimation, additive noise case The notations follow "Sigma-Point Kalman Filters for Probabilistic Inference in Dynamic State-Space Models",p108, PhD, van Der Merwe. | |
ukf::srstate | |
MUST NOT BE USED !!!!!!! Square root UKF for state estimation, additive noise case The notations follow "Sigma-Point Kalman Filters for Probabilistic Inference in Dynamic State-Space Models",p115, PhD, van Der Merwe. | |
Enumerations | |
enum | ukf::ProcessNoise { ukf::UKF_PROCESS_FIXED, ukf::UKF_PROCESS_RLS } |
The different types of implemented process noise for UKF state estimation. More... | |