Sensor array calibration with joint-block-sparsity in the presence of multiple separable observations

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dc.contributor.authorElbir, Ahmet Musab
dc.date.accessioned2020-04-30T23:31:50Z
dc.date.available2020-04-30T23:31:50Z
dc.date.issued2019
dc.departmentDÜ, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.descriptionElbir, Ahmet M./0000-0003-4060-3781en_US
dc.descriptionWOS: 000472530900009en_US
dc.description.abstractIn sparsity-based optimization problems, one of the major issue is computational complexity, especially when the unknown signal is represented in multi-dimensions such as in the problem of 2-D (azimuth and elevation) direction-of-arrival (DOA) estimation. In this paper, a low-complexity sparsity-based method is proposed for DOA estimation in the presence of array imperfections such as mutual coupling. In order to reduce the complexity of the optimization problem, this paper introduces a new sparsity structure that can be used to model the optimization problem in case of multiple data snapshots and multiple separable observations where the dictionary can be decomposed into two parts: azimuth and elevation dictionaries. The proposed sparsity structure is called joint-block-sparsity which exploits the sparsity in both multiple dimensions, namely azimuth and elevation, and data snapshots. In order to model the joint-block-sparsity in the optimization problem, triple mixed norms are used. In the simulations, the proposed method is compared with both sparsity-based techniques and subspace-based methods as well as the Cramer-Rao lower bound. It is shown that the proposed method effectively calibrates the sensor array with significantly low complexity and sufficient accuracy.en_US
dc.identifier.doi10.1007/s11760-019-01427-2en_US
dc.identifier.endpage913en_US
dc.identifier.issn1863-1703
dc.identifier.issn1863-1711
dc.identifier.issue5en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage905en_US
dc.identifier.urihttps://doi.org/10.1007/s11760-019-01427-2
dc.identifier.urihttps://hdl.handle.net/20.500.12684/4491
dc.identifier.volume13en_US
dc.identifier.wosWOS:000472530900009en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer London Ltden_US
dc.relation.ispartofSignal Image And Video Processingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDirection of arrival estimationen_US
dc.subjectMutual couplingen_US
dc.subjectJoint-block-sparsityen_US
dc.subjectSeparable observationsen_US
dc.subjectTriple mixed normsen_US
dc.titleSensor array calibration with joint-block-sparsity in the presence of multiple separable observationsen_US
dc.typeArticleen_US

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