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Track initialization from incomplete measurements

dc.contributor.authorDaun, Martina
dc.contributor.authorBerger, Christian R.
dc.contributor.authorKoch, Wolfgang
dc.contributor.editorHochberger, Christian
dc.contributor.editorLiskowsky, Rüdiger
dc.date.accessioned2019-06-12T12:32:21Z
dc.date.available2019-06-12T12:32:21Z
dc.date.issued2006
dc.description.abstractTarget tracking from incomplete measurements using Extended Kalman filtering suffers from unstable behavior due to difficult initialization. Instead of using numerical batch-estimators, we offer an analytical approach to initialize the filter from a minimum number of observations. Additionally, we provide the possibility to estimate only sub-sets of parameters, and to reliably model resulting added uncertainties by the covariance matrix. In a practical example with 3D bearings-only measurements, we implement our approach using geometrical considerations and give numerical results. The Monte-Carlo simulations show that the estimation accuracy is close to the Cramer-Rao lower bound and that the initialization is consistent according to the chi-square 95% acceptance region within a 40km by 40km area, which is four times the distance between the two sensors.en
dc.identifier.isbn978-3-88579-187-4
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/23696
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2006 – Informatik für Menschen, Band 1
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-93
dc.titleTrack initialization from incomplete measurementsen
dc.typeText/Conference Paper
gi.citation.endPage338
gi.citation.publisherPlaceBonn
gi.citation.startPage334
gi.conference.date2.-6. Oktober 2006
gi.conference.locationDresden
gi.conference.sessiontitleRegular Research Papers

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