DoA Estimation for Lens Antenna Array via Root-MUSIC, Outlier Detection, and Clustering

Zhengwei Ni; Yinan Luo; Mehul Motani; Chuanhuang Li

doi:10.1109/ACCESS.2020.3034080

IEEE Access (Jan 2020)

DoA Estimation for Lens Antenna Array via Root-MUSIC, Outlier Detection, and Clustering

Zhengwei Ni,
Yinan Luo,
Mehul Motani,
Chuanhuang Li

Affiliations

Zhengwei Ni: ORCiD; School of Information and Electronic Engineering, Zhejiang Gongshang University, Hangzhou, China
Yinan Luo: School of Information and Electronic Engineering, Zhejiang Gongshang University, Hangzhou, China
Mehul Motani: ORCiD; Department of Electrical and Computer Engineering, National University of Singapore, Singapore
Chuanhuang Li: School of Information and Electronic Engineering, Zhejiang Gongshang University, Hangzhou, China

DOI: https://doi.org/10.1109/ACCESS.2020.3034080
Journal volume & issue: Vol. 8
pp. 199187 – 199196

Abstract

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Lens antenna arrays have become attractive for mmWave MIMO systems due to their energy-focusing and path-division properties. However, when the signals cannot be well differentiated at different array elements due to their similar incident angles, we cannot estimate their DoAs separately. In this paper, we present a DoA estimation algorithm for this situation. Our algorithm has three main steps: a special version of root multiple signal classification (MUSIC) for lens antenna arrays, outlier detection, and clustering. Numerical results show that our algorithm can achieve good performance even with a large number of signal sources, a large number of array elements, and a small number of snapshots.

Published in IEEE Access

ISSN: 2169-3536 (Online)
Publisher: IEEE
Country of publisher: United States
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering
Website: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639

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