#include <gsl/gsl_linalg.h>
#include <gsl/gsl_math.h>
#include <gsl/gsl_blas.h>
#include "ukf_types.h"
Go to the source code of this file.
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| | 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.
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| | 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.
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| void | ukf::state::ukf_init (ukf_param &p, ukf_state &s) |
| | Allocation of the vectors/matrices and initialization. More...
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| void | ukf::state::ukf_free (ukf_param &p, ukf_state &s) |
| | Free of memory allocation. More...
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| template<typename FunctProcess , typename FunctObservation > |
| void | ukf::state::ukf_iterate (ukf_param &p, ukf_state &s, FunctProcess f, FunctObservation h, gsl_vector *yi) |
| | UKF-additive (zero-mean) noise case, "Kalman Filtering and Neural Networks", p.233. More...
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| template<typename FunctProcess , typename FunctObservation > |
| void | ukf::state::ukf_evaluate (ukf_param &p, ukf_state &s, FunctProcess f, FunctObservation h, gsl_vector *yi) |
| | Evaluation of the output from the sigma points. More...
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