About: Gaussian Mixtures Proposal Density in Particle Filter for Track-Before-Detect

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	The paper deals with state estimation for the track-before-detect approach using the particle lter. The focus is aimed at the track initiation proposal density of the particle lter which considerably affects estimate quality. The goal of the paper is to design a proposal based on a Gaussian mixture using a bank of extended Kalman lters. This leads to root mean square error lower than that achieved by usual simple track initiation proposals. Due to application of several developed techniques reducing computational requirements of the designed proposal, the Gaussian mixture particle lter also achieves lower computational requirements than ordinary particle lter. Performance of the proposed Gaussian mixture track initiation proposal in the particle lter is demonstrated in a numerical example. The paper deals with state estimation for the track-before-detect approach using the particle lter. The focus is aimed at the track initiation proposal density of the particle lter which considerably affects estimate quality. The goal of the paper is to design a proposal based on a Gaussian mixture using a bank of extended Kalman lters. This leads to root mean square error lower than that achieved by usual simple track initiation proposals. Due to application of several developed techniques reducing computational requirements of the designed proposal, the Gaussian mixture particle lter also achieves lower computational requirements than ordinary particle lter. Performance of the proposed Gaussian mixture track initiation proposal in the particle lter is demonstrated in a numerical example. (en)
Title	Gaussian Mixtures Proposal Density in Particle Filter for Track-Before-Detect Gaussian Mixtures Proposal Density in Particle Filter for Track-Before-Detect (en)
skos:prefLabel	Gaussian Mixtures Proposal Density in Particle Filter for Track-Before-Detect Gaussian Mixtures Proposal Density in Particle Filter for Track-Before-Detect (en)
skos:notation	RIV/49777513:23520/09:00502131!RIV10-MSM-23520___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(1M0572), P(GA102/08/0442)
http://linked.open...vai/riv/dodaniDat	2010
http://linked.open...aciTvurceVysledku	Šimandl, Miroslav Straka, Ondřej Duník, 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	315989
http://linked.open...ai/riv/idVysledku	RIV/49777513:23520/09:00502131
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Tracking; nonlinear ltering; estimation; track-before-detect; Gaussian mixture; proposal density; particle ltering (en)
http://linked.open.../riv/klicoveSlovo	nonlinear ltering particle ltering proposal density track-before-detect estimation Tracking Gaussian mixture
http://linked.open...ontrolniKodProRIV	[7C7E9F33E729]
http://linked.open...v/mistoKonaniAkce	Seattle, WA, USA
http://linked.open...i/riv/mistoVydani	NEW YORK
http://linked.open...i/riv/nazevZdroje	FUSION: 2009 12TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION, VOLS 1-4
http://linked.open...in/vavai/riv/obor	BC
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Data, algorithms, decision making Feasible approximations of dual control strategies
http://linked.open...UplatneniVysledku	2009
http://linked.open...iv/tvurceVysledku	Straka, Ondřej Šimandl, Miroslav Duník, Jindřich
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open...ain/vavai/riv/wos	000273560000036
http://linked.open.../riv/zahajeniAkce	2009-07-09 (xsd:date)
number of pages	8 (xsd:int)
http://purl.org/ne...btex#hasPublisher	IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
https://schema.org/isbn	978-0-9824-4380-4
http://localhost/t...ganizacniJednotka	23520
is http://linked.open...avai/riv/vysledek of	Gaussian Mixtures Proposal Density in Particle Filter for Track-Before-Detect Gaussian Mixtures Proposal Density in Particle Filter for Track-Before-Detect Gaussian Mixtures Proposal Density in Particle Filter for Track-Before-Detect Gaussian Mixtures Proposal Density in Particle Filter for Track-Before-Detect

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