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.
| Original language | English |
|---|---|
| Title of host publication | 99th IEEE Vehicular Technology Conference (VTC 2024-Spring): proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Number of pages | 5 |
| ISBN (Electronic) | 9798350387414 |
| ISBN (Print) | 9798350387421 |
| DOIs | |
| Publication status | Published - 25 Sept 2024 |
| Event | IEEE Conference on Vehicular Technology 2024 - Singapore, Singapore Duration: 24 Jun 2024 → 27 Jun 2024 |
Publication series
| Name | IEEE Vehicular Technology Conference Proceedings |
|---|---|
| ISSN (Print) | 1090-3038 |
| ISSN (Electronic) | 2577-2465 |
Conference
| Conference | IEEE Conference on Vehicular Technology 2024 |
|---|---|
| Abbreviated title | VTC 2024 |
| Country/Territory | Singapore |
| City | Singapore |
| Period | 24/06/2024 → 27/06/2024 |
Publications and Copyright Policy
This work is licensed under Queen’s Research Publications and Copyright Policy.Keywords
- DOA
- near-field
- far-field
- localization
- electromagnetics
- antenna
Fingerprint
Dive into the research topics of 'Near-field localization with an exact propagation model in presence of mutual coupling'. Together they form a unique fingerprint.Student theses
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Electromagnetics-informed near-field parameter estimation in wireless channels: modelling, algorithm development and performance analysis
Ebadi, Z. (Author), Yurduseven, O. (Supervisor), Cotton, S. (Supervisor), Abbasi, M. A. B. (Supervisor) & Molaei, A. M. (Assistant Supervisor), Dec 2026Student thesis: Doctoral Thesis › Doctor of Philosophy (Thesis with Publications)
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