@inproceedings{6ca90f58f2e448d9b56c19571c918682,
title = "Fast Ambiguity-Free Subspace-Based Multiple AoA Estimation for Hybrid Linear Arrays",
abstract = "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.",
keywords = "AoA estimation, MUSIC, hybrid array",
author = "Kao, {Wei Cheng} and Wu, {Jwo Yuh} and Tsai, {Shang Ho} and Wang, {Tsang Yi}",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 34th IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2023 ; Conference date: 05-09-2023 Through 08-09-2023",
year = "2023",
doi = "10.1109/PIMRC56721.2023.10293988",
language = "English",
series = "IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile Radio Communications",
address = "美國",
}