Robust direction-of-arrival estimation in non-Gaussian noise

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buir.contributor.authorÇetin, A. Enis
buir.contributor.orcidÇetin, A. Enis|0000-0002-3449-1958
dc.citation.epage1451en_US
dc.citation.issueNumber5en_US
dc.citation.spage1443en_US
dc.citation.volumeNumber46en_US
dc.contributor.authorYardımcı, Y.en_US
dc.contributor.authorÇetin, A. Enisen_US
dc.contributor.authorCadzow, J. A.en_US
dc.date.accessioned2016-02-08T10:43:16Z
dc.date.available2016-02-08T10:43:16Z
dc.date.issued1998-05en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.description.abstractIn this correspondence, a nonlinearly weighted least-squares method is developed for robust modeling of sensor array data. Weighting functions for various observation noise scenarios are determined using maximum likelihood estimation theory. Computational complexity of the new method is comparable with the standard least-squares estimation procedures. Simulation examples of direction-of-arrival estimation are presented.en_US
dc.identifier.doi10.1109/78.668808en_US
dc.identifier.issn1053-587X
dc.identifier.urihttp://hdl.handle.net/11693/25349
dc.language.isoEnglishen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/78.668808en_US
dc.source.titleIEEE Transactions on Signal Processingen_US
dc.subjectAntenna arraysen_US
dc.subjectDirection-of-arrival estimationen_US
dc.subjectImpulsive noiseen_US
dc.subjectMaximum likelihood estimationen_US
dc.titleRobust direction-of-arrival estimation in non-Gaussian noiseen_US
dc.typeArticleen_US

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