A Bernoulli Filter for Extended Target Tracking Using Random Matrices in a UWB Sensor Network

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dc.contributor.authorEryildirim, Abdulkadir
dc.contributor.authorGuldogan, Mehmet Burak
dc.date.accessioned2025-10-24T18:09:21Z
dc.date.available2025-10-24T18:09:21Z
dc.date.issued2016
dc.departmentMalatya Turgut Özal Üniversitesi
dc.description.abstractIn this paper, we propose a new tractable Bernoulli filter based on the random matrix framework to track an extended target in an ultra-wideband (UWB) sensor network. The resulting filter jointly tracks the kinematic and shape parameters of the target and is called the extended target Gaussian inverse Wishart Bernoulli (ET-GIW-Ber) filter. Closed form expressions for the ET-GIW-Ber filter recursions are presented. A clustering step is inserted into the measurement update stage in order to have a computationally tractable filter. In addition, a new method that is consistent with the applied clustering method is embedded into the filter recursions in order to adaptively estimate the time-varying number of measurements of the extended target. The simulation results demonstrate the robust and effective performance of the proposed filter. Furthermore, real data collected from a UWB sensor network are used to assess the performance of the proposed filter. It is shown that the proposed filter yields a very promising performance in estimation of the kinematic and shape parameters of the target.
dc.description.sponsorshipScientific and Technological Research Council of Turkey [114E214]
dc.description.sponsorshipThis work was supported by the Scientific and Technological Research Council of Turkey under Grant 114E214. The associate editor coordinating the review of this paper and approving it for publication was Dr. Amitava Chatterjee.
dc.identifier.doi10.1109/JSEN.2016.2544807
dc.identifier.endpage4373
dc.identifier.issn1530-437X
dc.identifier.issn1558-1748
dc.identifier.issue11
dc.identifier.scopus2-s2.0-84968750646
dc.identifier.scopusqualityQ1
dc.identifier.startpage4362
dc.identifier.urihttps://doi.org/10.1109/JSEN.2016.2544807
dc.identifier.urihttps://hdl.handle.net/20.500.12899/3588
dc.identifier.volume16
dc.identifier.wosWOS:000375563700047
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherIeee-Inst Electrical Electronics Engineers Inc
dc.relation.ispartofIeee Sensors Journal
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20251023
dc.subjectRandom finite set; extended target tracking; Bernoulli filter; Gaussian inverse Wishart; inverse Wishart distribution; random matrix; ultra-wideband; sensor network; localization
dc.titleA Bernoulli Filter for Extended Target Tracking Using Random Matrices in a UWB Sensor Network
dc.typeArticle

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