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dc.contributor.author Li, Y.-C. -
dc.contributor.author Choi, Byung Gil -
dc.contributor.author Chong, J.-W. -
dc.contributor.author Oh, Dae Gun -
dc.date.accessioned 2018-06-01T14:25:02Z -
dc.date.available 2018-06-01T14:25:02Z -
dc.date.created 2018-06-01 -
dc.date.issued 2018-05 -
dc.identifier.issn 1424-8220 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/6561 -
dc.description.abstract In this paper, a modified 3D multiple signal classification (MUSIC) algorithm is proposed for joint estimation of range, azimuth, and elevation angles of K-band radar with a small 2 × 2 horn antenna array. Three channels of the 2 × 2 horn antenna array are utilized as receiving channels, and the other one is a transmitting antenna. The proposed modified 3D MUSIC is designed to make use of a stacked autocorrelation matrix, whose element matrices are related to each other in the spatial domain. An augmented 2D steering vector based on the stacked autocorrelation matrix is proposed for the modified 3D MUSIC, instead of the conventional 3D steering vector. The effectiveness of the proposed modified 3D MUSIC is verified through implementation with a K-band frequency-modulated continuous-wave (FMCW) radar with the 2 × 2 horn antenna array through a variety of experiments in a chamber. © 2018 by the authors. Licensee MDPI, Basel, Switzerland. -
dc.language English -
dc.publisher Multidisciplinary Digital Publishing Institute (MDPI) -
dc.title 3D target localization of modified 3D MUSIC for a triple-channel K-band radar -
dc.type Article -
dc.identifier.doi 10.3390/s18051634 -
dc.identifier.scopusid 2-s2.0-85047264678 -
dc.identifier.bibliographicCitation Sensors, v.18, no.5, pp.1634 -
dc.description.isOpenAccess TRUE -
dc.subject.keywordAuthor 3D localization -
dc.subject.keywordAuthor MUSIC -
dc.subject.keywordAuthor 3D shift invariant -
dc.subject.keywordAuthor 3D estimation -
dc.subject.keywordAuthor triple channel -
dc.subject.keywordPlus DOA ESTIMATION -
dc.subject.keywordPlus ESPRIT -
dc.subject.keywordPlus ALGORITHM -
dc.citation.number 5 -
dc.citation.startPage 1634 -
dc.citation.title Sensors -
dc.citation.volume 18 -
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Appears in Collections:
Division of Intelligent Robotics 1. Journal Articles

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