ACTIVE JAMMER LOCALIZATION VIA ACQUISITION-AWARE PATH PLANNING
Luis Gonzalez-Gudiño, Mariona Jaramillo-Civill, Tales Imbiriba
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.
BibTeX
@inproceedings{icassp2026_activejammerloca,
title = {ACTIVE JAMMER LOCALIZATION VIA ACQUISITION-AWARE PATH PLANNING},
author = {Luis Gonzalez-Gudiño and Mariona Jaramillo-Civill and Tales Imbiriba},
booktitle = {ICASSP 2026},
year = {2026}
}