Adaptive measurement matrix design in direction of arrival estimation

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buir.contributor.authorKılıç, Berkan
buir.contributor.authorGüngör, Alper
buir.contributor.authorKalfa, Mert
buir.contributor.authorArıkan, Orhan
buir.contributor.orcidKılıç, Berkan|0000-0003-0367-4329
buir.contributor.orcidGüngör, Alper|0000-0002-3043-9124
buir.contributor.orcidKalfa, Mert|0000-0002-6462-1776
buir.contributor.orcidArıkan, Orhan|0000-0002-3698-8888
dc.citation.epage4756en_US
dc.citation.spage4742en_US
dc.citation.volumeNumber70en_US
dc.contributor.authorKılıç, Berkan
dc.contributor.authorGüngör, Alper
dc.contributor.authorKalfa, Mert
dc.contributor.authorArıkan, Orhan
dc.date.accessioned2023-02-16T12:01:07Z
dc.date.available2023-02-16T12:01:07Z
dc.date.issued2022-09-26
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.description.abstractAdvances in compressed sensing (CS) theory have brought new perspectives to encoding and decoding of signals with sparse representations. The encoding strategies are determined by measurement matrices whose design is a critical aspect of the CS applications. In this study, we propose a novel measurement matrix design methodology for direction of arrival estimation that adapts to the prior probability distribution on the source scene, and we compare its performance over alternative approaches using both on-grid and gridless reconstruction methods. The proposed technique is derived in closed-form and shown to provide improved compression rates compared to the state-of-the-art. This technique is also robust to the uncertainty in the prior source information. In the presence of significant mutual coupling between antenna elements, the proposed technique is adapted to mitigate these mutual coupling effects.en_US
dc.description.provenanceSubmitted by Betül Özen (ozen@bilkent.edu.tr) on 2023-02-16T12:01:07Z No. of bitstreams: 1 Adaptive_Measurement_Matrix_Design_in_Direction_of_Arrival_Estimation.pdf: 1818251 bytes, checksum: c5e0b71481d21ad87dc2f9e2e4633f98 (MD5)en
dc.description.provenanceMade available in DSpace on 2023-02-16T12:01:07Z (GMT). No. of bitstreams: 1 Adaptive_Measurement_Matrix_Design_in_Direction_of_Arrival_Estimation.pdf: 1818251 bytes, checksum: c5e0b71481d21ad87dc2f9e2e4633f98 (MD5) Previous issue date: 2022-09-26en
dc.identifier.doi10.1109/TSP.2022.3209880en_US
dc.identifier.eissn1941-0476
dc.identifier.issn1053-587X
dc.identifier.urihttp://hdl.handle.net/11693/111455
dc.language.isoEnglishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttps://www.doi.org/10.1109/TSP.2022.3209880en_US
dc.source.titleIEEE Transactions on Signal Processingen_US
dc.subjectMeasurement matrix designen_US
dc.subjectCompressed sensingen_US
dc.subjectDirection of arrival estimationen_US
dc.subjectMutual couplingen_US
dc.subjectAtomic norm minimizationen_US
dc.titleAdaptive measurement matrix design in direction of arrival estimationen_US
dc.typeArticleen_US

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