Fast Ambiguity-Free Subspace-Based Multiple AoA Estimation for Hybrid Linear Arrays

Wei Cheng Kao*, Jwo Yuh Wu, Shang Ho Tsai, Tsang Yi Wang

*此作品的通信作者

研究成果: Conference contribution同行評審

摘要

Angle-of-arrival (AoA) estimation via hybrid uniform linear arrays is subject to inherent ambiguity incurred by mixing many subarray measurements into just few RF chains. With the aid of non-uniform subarray placement, this paper proposes a low-complexity beam-space MUSIC algorithm capable of achieving ambiguity-free multiple AoA estimation. An ambiguity-free condition, specified by inter-subarray spacings, is derived, leading to various array configurations guaranteeing unique AoA recovery. Simulation results show that our proposed approach compares favorably with an existing temporal-domain based MUSIC method at reduced computational complexity.

原文English
主出版物標題2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile Radio Communications
主出版物子標題6G The Next Horizon - From Connected People and Things to Connected Intelligence, PIMRC 2023
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781665464833
DOIs
出版狀態Published - 2023
事件34th IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2023 - Toronto, Canada
持續時間: 5 9月 20238 9月 2023

出版系列

名字IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC

Conference

Conference34th IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2023
國家/地區Canada
城市Toronto
期間5/09/238/09/23

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