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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2407.19597 |
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| _version_ | 1866929439935299584 |
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| author | Ebadi, Zohreh Molaei, Amir Masoud Abbasi, Muhammad Ali Babar Cotton, Simon Tukmanov, Anvar Yurduseven, Okan |
| author_facet | Ebadi, Zohreh Molaei, Amir Masoud Abbasi, Muhammad Ali Babar Cotton, Simon Tukmanov, Anvar Yurduseven, Okan |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_19597 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Near-Field Localization with an Exact Propagation Model in Presence of Mutual Coupling Ebadi, Zohreh Molaei, Amir Masoud Abbasi, Muhammad Ali Babar Cotton, Simon Tukmanov, Anvar Yurduseven, Okan Signal Processing 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. |
| title | Near-Field Localization with an Exact Propagation Model in Presence of Mutual Coupling |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2407.19597 |