Lightweight Node Selection in Hexagonal Grid Topology for TDoA-Based UAV Localization
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arXiv
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| Auteurs principaux: | , , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866916796788899840 |
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| author | Fang, Zexin Han, Bin Chen, Wenwen Schotten, Hans D. |
| author_facet | Fang, Zexin Han, Bin Chen, Wenwen Schotten, Hans D. |
| contents | This paper investigates the optimization problem for TDoA-based UAV localization in low-altitude urban environments with hexagonal grid node deployment. We derive a lightweight optimized node selection strategy based on only RSSI measurements, to pre-select optimal nodes, avoiding extensive TDoA measurements in energy-constrained UAV scenarios. Theoretical and simulation results demonstrate that dynamically selecting the number of reference nodes improves localization performance while minimizing resource overhead. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_14311 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Lightweight Node Selection in Hexagonal Grid Topology for TDoA-Based UAV Localization Fang, Zexin Han, Bin Chen, Wenwen Schotten, Hans D. Signal Processing This paper investigates the optimization problem for TDoA-based UAV localization in low-altitude urban environments with hexagonal grid node deployment. We derive a lightweight optimized node selection strategy based on only RSSI measurements, to pre-select optimal nodes, avoiding extensive TDoA measurements in energy-constrained UAV scenarios. Theoretical and simulation results demonstrate that dynamically selecting the number of reference nodes improves localization performance while minimizing resource overhead. |
| title | Lightweight Node Selection in Hexagonal Grid Topology for TDoA-Based UAV Localization |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2506.14311 |