Near Field Parameter Estimation of Moving Sources With Recursive Expectation Maximization Algorithm

dc.contributor.author Cekli, Serap
dc.contributor.author Cekli, Erdinc
dc.contributor.author Kabaoğlu, Nihat
dc.contributor.author Cirpan, Hakan Ali
dc.date.accessioned 2019-06-27T08:06:53Z
dc.date.available 2019-06-27T08:06:53Z
dc.date.issued 2006
dc.department Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü en_US
dc.department Yüksekokullar, Kadir Has Meslek Yüksekokulu en_US
dc.description.abstract In 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.citationcount 0
dc.identifier.isbn 978-1-4244-0238-0
dc.identifier.startpage 385 en_US
dc.identifier.uri https://hdl.handle.net/20.500.12469/1240
dc.identifier.wos WOS:000245347800098 en_US
dc.institutionauthor Kabaoğlu, Nihat en_US
dc.language.iso tr en_US
dc.publisher IEEE en_US
dc.relation.journal 2006 IEEE 14th Signal Processing And Communications Applications, Vols 1 and 2 en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.title Near Field Parameter Estimation of Moving Sources With Recursive Expectation Maximization Algorithm en_US
dc.type Conference Object en_US
dc.wos.citedbyCount 0
dspace.entity.type Publication

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Near Field Parameter Estimation of Moving Sources with Recursive Expectation.pdf
Size:
286.52 KB
Format:
Adobe Portable Document Format
Description: