Active Jammer Localization via Acquisition-Aware Path Planning
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arXiv
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| Auteurs principaux: | , , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866909850285375488 |
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| author | González-Gudiño, Luis Jaramillo-Civill, Mariona Closas, Pau Imbiriba, Tales |
| author_facet | González-Gudiño, Luis Jaramillo-Civill, Mariona Closas, Pau Imbiriba, Tales |
| contents | We propose an active jammer localization framework that combines Bayesian optimization with acquisition-aware path planning. Unlike passive crowdsourced methods, our approach adaptively guides a mobile agent to collect high-utility Received Signal Strength measurements while accounting for urban obstacles and mobility constraints. For this, we modified the A* algorithm, A-UCB*, by incorporating acquisition values into trajectory costs, leading to high-acquisition planned paths. Simulations on realistic urban scenarios show that the proposed method achieves accurate localization with fewer measurements compared to uninformed baselines, demonstrating consistent performance under different environments. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_14790 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Active Jammer Localization via Acquisition-Aware Path Planning González-Gudiño, Luis Jaramillo-Civill, Mariona Closas, Pau Imbiriba, Tales Machine Learning We propose an active jammer localization framework that combines Bayesian optimization with acquisition-aware path planning. Unlike passive crowdsourced methods, our approach adaptively guides a mobile agent to collect high-utility Received Signal Strength measurements while accounting for urban obstacles and mobility constraints. For this, we modified the A* algorithm, A-UCB*, by incorporating acquisition values into trajectory costs, leading to high-acquisition planned paths. Simulations on realistic urban scenarios show that the proposed method achieves accurate localization with fewer measurements compared to uninformed baselines, demonstrating consistent performance under different environments. |
| title | Active Jammer Localization via Acquisition-Aware Path Planning |
| topic | Machine Learning |
| url | https://arxiv.org/abs/2510.14790 |