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dc.contributor.author Oh, Daegun -
dc.contributor.author Li, Ying-chun -
dc.contributor.author Khodjaev, Jasurbek -
dc.contributor.author Chong, Jong-Wha -
dc.contributor.author Lee, Jong-Hun -
dc.date.available 2017-07-11T06:00:08Z -
dc.date.created 2017-04-10 -
dc.date.issued 2015-03 -
dc.identifier.issn 1751-8784 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/2928 -
dc.description.abstract This study presents an improved joint estimation method of signal parameters via rotational invariance technique (ESPRIT) algorithm for low-complexity simultaneous estimation of direction of departure (DOD) and direction of arrival (DOA) in a multiple-input-multiple-output radar system. The proposed algorithm is based on a data matrix and estimates DOD and DOA without a pairing operation. The computational complexity of the proposed joint ESPRIT algorithm is derived to be less than that of conventional two dimension multiple signal classification (2D-MUSIC) and reduced dimension multiple signal classification. The authors' simulation results demonstrate that the proposed algorithm achieves performance very close to that of 2D-MUSIC and better performance than that of the ESPRIT algorithm. © The Institution of Engineering and Technology 2015. -
dc.publisher Institution of Engineering and Technology -
dc.title Joint estimation of direction of departure and direction of arrival for multiple-input multiple-output radar based on improved joint ESPRIT method -
dc.type Article -
dc.identifier.doi 10.1049/iet-rsn.2014.0069 -
dc.identifier.scopusid 2-s2.0-84924296743 -
dc.identifier.bibliographicCitation IET Radar, Sonar and Navigation, v.9, no.3, pp.308 - 317 -
dc.citation.endPage 317 -
dc.citation.number 3 -
dc.citation.startPage 308 -
dc.citation.title IET Radar, Sonar and Navigation -
dc.citation.volume 9 -

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