A Robust UAV-Based Approach for Power-Modulated Jammer Localization Using DoA
Zexin Fang, Bin Han, Hans Dieter Schotten · arXiv (Cornell University) · 2024
Unmanned aerial vehicles (UAVs) are well-suited to localize jammers, particularly when jammers are at non-terrestrial locations, where conventional detection methods face challenges. In this work we propose a novel localization method, sample pruning gradient descend (SPGD), which offers robust performance against multiple power-modulated jammers with low computational complexity.