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| Autori principali: | , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
| Accesso online: | https://arxiv.org/abs/2510.08765 |
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| _version_ | 1866918157874102272 |
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| author | Amiri, Mojtaba Amiri, Rouhollah |
| author_facet | Amiri, Mojtaba Amiri, Rouhollah |
| contents | This letter proposes an algebraic solution for the problem of 3-D source localization utilizing the minimum number of measurements, i.e., one Time Difference of Arrival (TDOA) and one Angle of Arrival (AOA) pair. The proposed method employs a closed-form weighted least squares estimator and enables the positioning using a single ground station and a cooperative UAV relaying the signal. Analytical derivations and simulation results demonstrate effectiveness of the proposed approach, achieving near-optimal performance aligned with the Cramér-Rao Lower Bound (CRLB) under moderate Gaussian noise conditions. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_08765 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | UAV-Assisted 3-D Localization for IoT Networks Using a Simple and Efficient TDOA-AOA Estimator Amiri, Mojtaba Amiri, Rouhollah Signal Processing This letter proposes an algebraic solution for the problem of 3-D source localization utilizing the minimum number of measurements, i.e., one Time Difference of Arrival (TDOA) and one Angle of Arrival (AOA) pair. The proposed method employs a closed-form weighted least squares estimator and enables the positioning using a single ground station and a cooperative UAV relaying the signal. Analytical derivations and simulation results demonstrate effectiveness of the proposed approach, achieving near-optimal performance aligned with the Cramér-Rao Lower Bound (CRLB) under moderate Gaussian noise conditions. |
| title | UAV-Assisted 3-D Localization for IoT Networks Using a Simple and Efficient TDOA-AOA Estimator |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2510.08765 |