About: Aspects and Comparison of Matrix Decompositions in Unscented Kalman Filter

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6580303
Description	The paper deals with state estimation of nonlinear Gaussian systems with a special focus on the unscented Kalman filter. Its algorithm is based on specification of a set of so-called sigma points which are generated according to the covariance matrix of the state decomposed into a product of a matrix and its transpose. The paper analyzes utilization of different matrix decompositions within the unscented transform, which is a core of the unscented Kalman filter. It is shown that different decompositions may lead to significant differences in quality of approximations provided by the transform. The influence of the decompositions on the filter is demonstrated in an example. The paper deals with state estimation of nonlinear Gaussian systems with a special focus on the unscented Kalman filter. Its algorithm is based on specification of a set of so-called sigma points which are generated according to the covariance matrix of the state decomposed into a product of a matrix and its transpose. The paper analyzes utilization of different matrix decompositions within the unscented transform, which is a core of the unscented Kalman filter. It is shown that different decompositions may lead to significant differences in quality of approximations provided by the transform. The influence of the decompositions on the filter is demonstrated in an example. (en)
Title	Aspects and Comparison of Matrix Decompositions in Unscented Kalman Filter Aspects and Comparison of Matrix Decompositions in Unscented Kalman Filter (en)
skos:prefLabel	Aspects and Comparison of Matrix Decompositions in Unscented Kalman Filter Aspects and Comparison of Matrix Decompositions in Unscented Kalman Filter (en)
skos:notation	RIV/49777513:23520/13:43918723!RIV14-MSM-23520___
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(ED1.1.00/02.0090), P(GAP103/11/1353), S
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Šimandl, Miroslav Straka, Ondřej Duník, Jindřich Havlík, Jindřich
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Západočeská univerzita v Plzni / Fakulta aplikovaných věd
http://linked.open...dnocenehoVysledku	62179
http://linked.open...ai/riv/idVysledku	RIV/49777513:23520/13:43918723
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	state estimation, unscented transform, unscented Kalman filter, Cholesky decomposition, SVD (en)
http://linked.open.../riv/klicoveSlovo	SVD state estimation Cholesky decomposition unscented Kalman filter unscented transform
http://linked.open...ontrolniKodProRIV	[CDCB0208235C]
http://linked.open...v/mistoKonaniAkce	Washington, USA
http://linked.open...i/riv/mistoVydani	Washington
http://linked.open...i/riv/nazevZdroje	Proceedings of the 2013 American Control Conference
http://linked.open...in/vavai/riv/obor	BC
http://linked.open...ichTvurcuVysledku	4 (xsd:int)
http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...vavai/riv/projekt	NTIS - New Technologies for Information Society State Estimation of Dynamic Stochastic Systems
http://linked.open...UplatneniVysledku	2013
http://linked.open...iv/tvurceVysledku	Straka, Ondřej Šimandl, Miroslav Duník, Jindřich Havlík, Jindřich
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2013-06-17 (xsd:date)
issn	0743-1619
number of pages	6 (xsd:int)
http://purl.org/ne...btex#hasPublisher	AACC
https://schema.org/isbn	978-1-4799-0177-7
http://localhost/t...ganizacniJednotka	23520

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