Three-dimensional localization using 1-D AOAs from linear arrays

Feng Wei; Zhao Chen; Peng Zhang; Xiankang Zhang; Zhao Zhou; Yin Wang; Dongqi Shi

doi:10.1117/12.3041063

11 September 2024 Three-dimensional localization using 1-D AOAs from linear arrays

Feng Wei, Zhao Chen, Peng Zhang, Xiankang Zhang, Zhao Zhou, Yin Wang, Dongqi Shi

Proceedings Volume 13253, Fourth International Conference on Signal Image Processing and Communication (ICSIPC 2024); 1325307 (2024) https://doi.org/10.1117/12.3041063
Event: 4th International Conference on Signal Image Processing and Communication, 2024, Xi'an, China

Abstract

In this paper, we propose a novel method for 3-D localization utilizing 1-D angle of arrival (AOA) measurements, also referred to as space angles (SAs), acquired from linear arrays. Our method hinges on the semidefinite relaxation (SDR) framework. Initially, we employ the SDR method to derive an initial solution. Recognizing the inherent limitations of this initial solution, we incorporate a pioneering randomization technique to enhance precision. Our simulation results illustrate the exceptional performance of our proposed method when contrasted with the present SDR-based method.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Feng Wei, Zhao Chen, Peng Zhang, Xiankang Zhang, Zhao Zhou, Yin Wang, and Dongqi Shi "Three-dimensional localization using 1-D AOAs from linear arrays", Proc. SPIE 13253, Fourth International Conference on Signal Image Processing and Communication (ICSIPC 2024), 1325307 (11 September 2024); https://doi.org/10.1117/12.3041063

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