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dc.contributor.authorÇekli, Serap
dc.contributor.authorÇekli, Erdinç
dc.contributor.authorKabaoğlu, Nihat
dc.contributor.authorCirpan, Hakan Ali
dc.date.accessioned2019-06-28T11:11:38Z
dc.date.available2019-06-28T11:11:38Z
dc.date.issued2006
dc.identifier.isbn1424402395
dc.identifier.isbn9781424402397
dc.identifier.urihttps://hdl.handle.net/20.500.12469/1653
dc.identifier.urihttps://doi.org/10.1109/SIU.2006.1659723
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. © 2006 IEEE.en_US]
dc.language.isoturen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectN/Aen_US
dc.titleNear field parameter estimation of moving sources with recursive expectation maximization algorithm [Yinelemeli beklenti/en büyükleme algoritması ile hareketli kaynakların yakın-alan parametrelerinin kestirimi]en_US
dc.typeconferenceObjecten_US
dc.relation.journal2006 IEEE 14th Signal Processing and Communications Applications Conferenceen_US
dc.identifier.volume2006en_US
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.departmentYüksekokullar, Kadir Has Meslek Yüksekokuluen_US
dc.identifier.doi10.1109/SIU.2006.1659723en_US
dc.identifier.scopus2-s2.0-34247160404en_US
dc.institutionauthorKabaoğlu, Nihaten_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US


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