Title: A Low-Complexity Direction-of-Arrival Estimation Algorithm for Full-Dimension Massive MIMO Systems
Authors: Yang, Kai-Yu
Wu, Jwo-Yuh
Li, Wen-Hsuan
電機工程學系
Department of Electrical and Computer Engineering
Keywords: Massive MIMO;Full-Dimension MIMO;Direction of Arrival (DoA);MUSIC;ESPRIT
Issue Date: 2014
Abstract: Full 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.
URI: http://hdl.handle.net/11536/136491
ISBN: 978-1-4799-5832-0
Journal: 2014 IEEE International Conference on Communication Systems (ICCS)
Begin Page: 472
End Page: 476
Appears in Collections:Conferences Paper