arXiv · 2510.14790
Active Jammer Localization via Acquisition-Aware Path Planning
Abstract
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.
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Luis González-Gudiño, Mariona Jaramillo-Civill, Pau Closas, Tales Imbiriba. 2025-10-16. Active Jammer Localization via Acquisition-Aware Path Planning. https://arxiv.org/abs/2510.14790
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