Fixed Lag Smoothing Technique for Track Maintenance in Clutter

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dc.contributor.author Chakravorty, R
dc.contributor.author Challa, S
dc.contributor.editor No editors
dc.date.accessioned 2009-11-09T05:34:29Z
dc.date.issued 2004-01
dc.identifier.citation Proceedings on Intelligent Sensors, Sensor Networks and Information Processing, 2004, pp. 119 - 124
dc.identifier.isbn 0-7803-8894-1
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/2332
dc.description.abstract A fixed lag smoothing algorithm for the multi-target scenario is proposed, taking the algorithm of the integrated probabilistic data association (IPDA) filter as the basis. Both target state and its existence are estimated in IPDA. An expression for the smoothing of track existence is derived. The proposed algorithm can be implemented as an extension to PDA smoothing. PDA smoothing computes the state estimate while the derived equation can be used to smooth the existence of the tracks. Thus, a recursive form for fixed lag smoothing of track existence is incorporated into PDA smoothing. This should improve the estimate of both the track states and existence probability which should give better track maintenance. In a practical application like "situation awareness", this improvement can have a great significance.
dc.publisher IEEE
dc.relation.isbasedon 10.1109/ISSNIP.2004.1417448
dc.title Fixed Lag Smoothing Technique for Track Maintenance in Clutter
dc.type Conference Proceeding
dc.parent Proceedings on Intelligent Sensors, Sensor Networks and Information Processing
dc.journal.number en_US
dc.publocation Melbourne, Australia en_US
dc.identifier.startpage 119 en_US
dc.identifier.endpage 124 en_US
dc.cauo.name FEIT.School of Elec, Mech and Mechatronic Systems en_US
dc.conference Verified OK en_US
dc.conference International Conference on Intelligent Sensors, Sensor Networks and Information Processing
dc.conference.location Melbourne, Australia en_US
dc.for 0902 Automotive Engineering
dc.personcode 040218
dc.personcode 10209423
dc.percentage 100 en_US
dc.classification.name Automotive Engineering en_US
dc.classification.type FOR-08 en_US
dc.custom International Conference on Intelligent Sensors, Sensor Networks and Information Processing en_US
dc.date.activity 20041214 en_US
dc.date.activity 2004-12-14
dc.location.activity Melbourne, Australia en_US
dc.description.keywords clutter , parameter estimation , probability , recursive filters , signal processing , smoothing methods , state estimation , target tracking en_US
dc.description.keywords clutter , parameter estimation , probability , recursive filters , signal processing , smoothing methods , state estimation , target tracking
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology/School of Elec, Mech and Mechatronic Systems
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10
utslib.collection.history Closed (ID: 3)


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