Target Tracking Using Particle Filters With Support Vector Regression

dc.contributor.authorKabaoglu, Nihat
dc.date.accessioned2024-07-12T21:47:25Z
dc.date.available2024-07-12T21:47:25Z
dc.date.issued2009en_US
dc.departmentMaltepe Üniversitesien_US
dc.description.abstractThis paper presents a numerical Bayesian approach for the direction-of-arrival (DOA) tracking of multiple targets using a linear and passive sensor array. In this paper, support vector regression (SVR) method is employed, together with particle filters (PFs), to obtain an effective proposed distribution utilizing observed phenomena to propose a new sample. Two PF algorithms are presented: One is based on SVR for a large sample set, and the other is based on sequential SVR for a small sample set. The simulation results present the superiority of the proposed method while considering a small sample set and show that it is also competitive when a large sample set is considered.en_US
dc.identifier.doi10.1109/TVT.2008.2005723
dc.identifier.endpage2573en_US
dc.identifier.issn0018-9545
dc.identifier.issue5en_US
dc.identifier.scopus2-s2.0-66449092042en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage2569en_US
dc.identifier.urihttps://dx.doi.org/10.1109/TVT.2008.2005723
dc.identifier.urihttps://hdl.handle.net/20.500.12415/8041
dc.identifier.volume58en_US
dc.identifier.wosWOS:000267436200043en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorKabaoglu, Nihat
dc.language.isoenen_US
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCen_US
dc.relation.ispartofIEEE TRANSACTIONS ON VEHICULAR TECHNOLOGYen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmzKY01216
dc.subjectDirection-of-arrival (DOA) trackingen_US
dc.subjectparticle filters (PFs)en_US
dc.subjectsupport vector regression (SVR)en_US
dc.titleTarget Tracking Using Particle Filters With Support Vector Regressionen_US
dc.typeArticle
dspace.entity.typePublication

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