#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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