A Robust UAV-Based Approach for Power-Modulated Jammer Localization Using DoA

Abstract

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.

Submitted to the 2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall)