@inproceedings{d9102049d3774db29fbb47c2cd77980d,
title = "OANM: An Atomic Separation-free Solution for DoA-estimation in Wireless Communication",
abstract = "Direction-of-Arrival (DoA)-estimation is indispensable in the industry of wireless communication, for example, it is pivotal in DoA-localization and downlink beamforming. In this paper, we introduce the concept and practical implementation of Orthonormal Atomic Norm Minimization (OANM), a kind of innovative way of compressive sensing, which can be used for DoA-estimation and is more inter-antenna spacing separation-free with the usage of only single-snapshot of received signal. The result shows that OANM can successfully estimate the DoAs of signals transmitted by all different users with low complexity but high efficiency.",
keywords = "atomic separation, compressive sensing, DoA-estimation, norm minimization, orthonormal, sparse signal processing",
author = "Lau, \{Ka Ho\} and Ng, \{Chiu Kit\} and Jian Song",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 International Conference on Electrical Engineering and Photonics, EExPolytech 2022 ; Conference date: 20-10-2022 Through 21-10-2022",
year = "2022",
doi = "10.1109/EExPolytech56308.2022.9950908",
language = "English",
series = "Proceedings of the 2022 International Conference on Electrical Engineering and Photonics, EExPolytech 2022",
pages = "67--70",
booktitle = "Proceedings of the 2022 International Conference on Electrical Engineering and Photonics, EExPolytech 2022",
}