Near field parameter estimation of moving sources with recursive expectation maximization algorithm

dc.contributor.authorCekli, Serap
dc.contributor.authorCekli, Erdinc
dc.contributor.authorKabaoğlu, Nihat
dc.contributor.authorCirpan, Hakan Ali
dc.date.accessioned2019-06-27T08:06:53Z
dc.date.available2019-06-27T08:06:53Z
dc.date.issued2006
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.departmentYüksekokullar, Kadir Has Meslek Yüksekokuluen_US
dc.description.abstractIn this paper maximum likelihood (ML) estimator is proposed for the joint estimation of the direction of arrival (DOA) and range parameters of moving sources in the near-field of the antenna array. ML estimation algorithm is presented for deterministic signal model. Recursive form of the expectation maximization (REM) algoritm is suggested for the estimation of the near-field parameters because there is not closed form solutions for the maximum likelihood functions. Moreover simulation results of the suggested algorithm are presented.en_US]
dc.identifier.citation0
dc.identifier.isbn978-1-4244-0238-0
dc.identifier.scopusqualityN/A
dc.identifier.startpage385en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12469/1240
dc.identifier.wosWOS:000245347800098en_US
dc.identifier.wosqualityN/A
dc.institutionauthorKabaoğlu, Nihaten_US
dc.language.isotren_US
dc.publisherIEEEen_US
dc.relation.journal2006 IEEE 14th Signal Processing And Communications Applications, Vols 1 and 2en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleNear field parameter estimation of moving sources with recursive expectation maximization algorithmen_US
dc.typeConference Objecten_US
dspace.entity.typePublication

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