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Publikace

Performance analysis of derivative-free filters

Typ:
Konferenční příspěvek
Název sborniku:
Proceedings of the 44th IEEE Conference on Decision and Control, and European Control Conference ECC'05
Místo vydání:
Seville, Spain
Rok:
2005
Strany:
1941-1946
ISBN:
0-7803-9568-9
ISSN:
0191-2216
Adresa (www stránky):
příloha1:
příloha2:
Anotace:
Nonlinear state estimation by the derivative-free Sigma Point Kalman Filters is treated. Particularly, impact of the derivative-free Kalman filters on estimation quality of the Sigma Point Gaussian Sum Filters is discussed. New relations between the Unscented Kalman Filter and the Divided Difference Filters are derived. The main stress is laid on the covariance matrixes which have crucial role for the behaviour explanation of the Sigma Point Gaussian Sum Filters. The theoretical results are illustrated in some numerical examples.
 
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