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dc.contributor.advisorArıkan, Orhanen_US
dc.contributor.authorÇadallı, Nailen_US
dc.date.accessioned2016-01-08T20:13:24Z
dc.date.available2016-01-08T20:13:24Z
dc.date.issued1996
dc.identifier.urihttp://hdl.handle.net/11693/17785
dc.descriptionAnkara : The Department of Electrical and Electronics Engineering and the Institute of Engineering and Sciences of Bilkent Univ., 1996.en_US
dc.descriptionThesis (Master's) -- Bilkent University, 1996.en_US
dc.descriptionIncludes bibliographical references leaves 38-43en_US
dc.description.abstractA thorough derivation of the Expectation Maximization (EM) algorithm, which is an iterative numerical method of Maximum Likelihood (ML) estimation, is presented for the case of estimating direction of arrivals of unknown deterministic wide-band signals incident from different directions onto a passive array. For the rec^uired signal estimation, alternative regularized least squares estimation techniques are proposed with significant improvement over the standard least squares techniques. Also, for the angle of arrival estimation of a large number of signals, a tree structured EM algorithm is proposed and compared with the conventional EM approach. Extensive simulation results are presented for comparison of the proposed algorithms with the current high-resolution methods of wide-band direction finding. In order to handle efficiently the case of available parametric prior models on the received waveforms, the required modifications are also given.en_US
dc.description.statementofresponsibilityÇadallı, Nailen_US
dc.format.extentviii, 49 leavesen_US
dc.language.isoEnglishen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectArray Signal Processingen_US
dc.subjectSource Localizationen_US
dc.subjectWide-Band Direction Findingen_US
dc.subjectMaximum Likelihood Estimationen_US
dc.subjectSignal Parameter Estimationen_US
dc.subject.lccQA276.8 .C33 1996en_US
dc.subject.lcshExpectation-maximization algorithms.en_US
dc.subject.lcshEstimation theory.en_US
dc.titleWide-band maximum likelihood direction finding by using the tree-structured EM algorithmen_US
dc.typeThesisen_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.publisherBilkent Universityen_US
dc.description.degreeM.S.en_US


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