@inproceedings{dfa9beff42d64ac18b63220b66aaca32,
title = "Scalable Fluid Antenna Systems for Mixed-Field Source Localization",
abstract = "Existing antenna array-based localization methods rely on fixed-position arrays and strict field assumptions (near-field or far-field), limiting their effectiveness in complex scenarios. This paper introduces a scalable fluid antenna system (SFAS) that dynamically adjusts its aperture for different localization tasks. We develop a two-stage strategy based on exact spatial geometry: a compressed aperture for initial direction-of-arrival (DOA) estimation, and an expanded aperture for enhanced DOA and range estimation. This approach eliminates the need for source classification and achieves high accuracy without field-specific assumptions or approximations. Simulations demonstrate superior performance in localization accuracy and robustness across mixed-field environments.",
keywords = "MUSIC algorithm, Scalable fluid antenna systems, exact spatial geometry, mixed-field localization",
author = "Tuo Wu and Jie Tang and Baiyang Liu and Kangda Zhi and Tong, \{Kin Fai\} and Wong, \{Kai Kit\} and Chae, \{Chan Byoung\} and Valenti, \{Matthew C.\} and Luk, \{Kwai Man\}",
note = "Publisher Copyright: {\textcopyright} 2026 IEEE.; 2026 IEEE International Conference on Communications, ICC 2026 ; Conference date: 24-05-2026 Through 28-05-2026",
year = "2026",
doi = "10.1109/ICC59461.2026.11586773",
language = "English",
series = "IEEE International Conference on Communications",
booktitle = "ICC 2026 - IEEE International Conference on Communications, Proceedings",
}