UKF for parameter estimation. The notations follow "Sigma-Point Kalman Filters for Probabilistic Inference in Dynamic State-Space Models",p93, PhD, van Der Merwe.
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void | ukf_init (ukf_param &p, ukf_state &s) |
| Allocation of the vectors/matrices and initialization. More...
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void | ukf_free (ukf_param &p, ukf_state &s) |
| Free of memory allocation. More...
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template<typename FunctObj > |
void | ukf_iterate (ukf_param &p, ukf_state &s, FunctObj g, gsl_vector *xk, gsl_vector *dk) |
| Iteration for the statistical linearization. More...
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template<typename FunctObj > |
void | ukf_evaluate (ukf_param &p, ukf_state &s, FunctObj g, gsl_vector *xk, gsl_vector *dk) |
| Evaluation of the output from the sigma points. More...
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void | getSigmaPoints (ukf_param &p, ukf_state &s, gsl_matrix *sigmaPoints) |
| Returns a set of sigma points. More...
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void | ukf_scalar_init (ukf_param &p, ukf_scalar_state &s) |
| Allocation of the vectors/matrices and initialization. More...
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void | ukf_scalar_free (ukf_param &p, ukf_scalar_state &s) |
| Free of memory allocation. More...
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template<typename FunctObj > |
void | ukf_scalar_iterate (ukf_param &p, ukf_scalar_state &s, FunctObj g, gsl_vector *xk, double dk) |
| Iteration for UKF for parameter estimation, in case of a scalar output. More...
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template<typename FunctObj > |
void | ukf_scalar_evaluate (ukf_param &p, ukf_scalar_state &s, FunctObj g, gsl_vector *xk, double &dk) |
| Evaluation of the output from the sigma points. More...
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UKF for parameter estimation. The notations follow "Sigma-Point Kalman Filters for Probabilistic Inference in Dynamic State-Space Models",p93, PhD, van Der Merwe.