@inproceedings{6a4588ec79a746dd8029e8b8c8ca6c57,
title = "Near-field localization with an exact propagation model in presence of mutual coupling",
abstract = "Localizing near-field sources considering practical arrays is important in wireless communications. Array-based apertures exhibit mutual coupling between the array elements, which can significantly degrade the performance of the localization method. In this paper, we propose two methods to localize near-field sources by direction of arrival (DOA) and range estimations in the presence of mutual coupling. The first method utilizes a two-dimensional search to estimate DOA and the range of the source. Therefore, it suffers from a high computational load. The second method reduces the two-dimensional search to one-dimensional, thus decreasing the computational complexity while offering similar DOA and range estimation performance. Besides, our second method reduces computational time by over 50\% compared to the multiple signal classification (MUSIC) algorithm.",
keywords = "DOA, near-field, far-field, localization, electromagnetics, antenna",
author = "Zohreh Ebadi and Molaei, \{Amir Masoud\} and Abbasi, \{Muhammad Ali Babar\} and Simon Cotton and Anvar Tukmanov and Okan Yurduseven",
year = "2024",
month = sep,
day = "25",
doi = "10.1109/VTC2024-Spring62846.2024.10683010",
language = "English",
isbn = "9798350387421",
series = " IEEE Vehicular Technology Conference Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "99th IEEE Vehicular Technology Conference (VTC 2024-Spring): proceedings",
address = "United States",
note = "IEEE Conference on Vehicular Technology 2024, VTC 2024 ; Conference date: 24-06-2024 Through 27-06-2024",
}