V-Shaped Sparse Arrays for 2-D DOA Estimation

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dc.contributor.authorElbir, Ahmet Musab
dc.date.accessioned2020-04-30T23:46:55Z
dc.date.available2020-04-30T23:46:55Z
dc.date.issued2019
dc.departmentDÜ, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.descriptionElbir, Ahmet M./0000-0003-4060-3781en_US
dc.descriptionWOS: 000468147600017en_US
dc.description.abstractThis paper proposes a new sparse array geometry for 2-D (azimuth and elevation) direction-of-arrival (DOA) estimation. The proposed array geometry is V-shaped sparse array, and it is composed of two linear portions which are crossing each other. The degrees of freedom of the sparse array are enhanced by sparse sampling property. In this respect, V-shaped coprime (VCA) and V-shaped nested array (VNA) structures are developed. VCA can resolve both azimuth and elevation angles up to MN sources with 2M+N-1 sensors in each portion, and the total number of sensors is 4M+2N-3. VNA can resolve O(N2) sources with 2N sensors. Instead of 2-D grid search, the proposed method computes 1-D search for azimuth and elevation angle estimation in a computational efficient way. In order to solve the pairing problem in 2-D scenario, the cross-covariance matrix of two portion is utilized and 2-D paired DOA estimation is performed. The performance of the proposed method is evaluated with numerical simulations, and it is shown that the proposed array geometries VCA and VNA can provide much less sensors as compared to the conventional coprime planar arrays.en_US
dc.identifier.doi10.1007/s00034-018-0991-5en_US
dc.identifier.endpage2809en_US
dc.identifier.issn0278-081X
dc.identifier.issn1531-5878
dc.identifier.issue6en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage2792en_US
dc.identifier.urihttps://doi.org/10.1007/s00034-018-0991-5
dc.identifier.urihttps://hdl.handle.net/20.500.12684/5368
dc.identifier.volume38en_US
dc.identifier.wosWOS:000468147600017en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer Birkhauseren_US
dc.relation.ispartofCircuits Systems And Signal Processingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectV-shaped arraysen_US
dc.subjectCoprime arraysen_US
dc.subjectNested arraysen_US
dc.subjectSparse arraysen_US
dc.subjectDirection-of-arrival estimationen_US
dc.titleV-Shaped Sparse Arrays for 2-D DOA Estimationen_US
dc.typeArticleen_US

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