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dc.contributor.authorYang, Kai-Yuen_US
dc.contributor.authorWu, Jwo-Yuhen_US
dc.contributor.authorLi, Wen-Hsuanen_US
dc.date.accessioned2017-04-21T06:48:33Z-
dc.date.available2017-04-21T06:48:33Z-
dc.date.issued2014en_US
dc.identifier.isbn978-1-4799-5832-0en_US
dc.identifier.urihttp://hdl.handle.net/11536/136491-
dc.description.abstractFull dimension (FD) MIMO, whereby a 2-dimensional (2D) antenna array is placed at the base station, has been known as a promising solution to economize spatial size of practical massive MIMO systems. To exploit such spatial resource for system performance enhancement, e.g., via three-dimensional beamforming, accurate estimation of the direction-of-arrival (DoA) of the signal sources is necessary. Existing DoA estimation methods using 2D arrays typically resorted to joint search over the 2D angular domain; however, the required algorithmic complexity would be prohibitively large, especially in the massive MIMO scenario. This paper proposes a two-stage low-complexity DoA estimation scheme, in which two MUSIC algorithms are performed for estimating, respectively, the elevation and azimuth angles of the impinging sources. Detailed flop count analyses are provided for justifying the low-complexity advantage. Various numerical simulations are also used to illustrate the performance of the proposed scheme.en_US
dc.language.isoen_USen_US
dc.subjectMassive MIMOen_US
dc.subjectFull-Dimension MIMOen_US
dc.subjectDirection of Arrival (DoA)en_US
dc.subjectMUSICen_US
dc.subjectESPRITen_US
dc.titleA Low-Complexity Direction-of-Arrival Estimation Algorithm for Full-Dimension Massive MIMO Systemsen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2014 IEEE International Conference on Communication Systems (ICCS)en_US
dc.citation.spage472en_US
dc.citation.epage476en_US
dc.contributor.department電機工程學系zh_TW
dc.contributor.departmentDepartment of Electrical and Computer Engineeringen_US
dc.identifier.wosnumberWOS:000389251100095en_US
dc.citation.woscount0en_US
Appears in Collections:Conferences Paper