Work

Active Jammer Localization via Acquisition-Aware Path Planning

Year: 2025

Type: preprint

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.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2510.14790

Authors: González-Gudiño, Luis, Jaramillo-Civill, Mariona, Closas, Pau, Imbiriba, Tales

Institutions: University of Massachusetts Boston, Northeastern University

Topic: Indoor and Outdoor Localization Technologies

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: green

OpenAlex ID: W7092288007

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