Year: 2024
Type: conference-paper
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.
Authors: Zexin Fang, Bin Han, Hans D. Schotten
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
Awards: A holistic flagship towards the 6G network platform and system, to inspire digital transformation, for the world to act together in meeting needs in society and ecosystems with novel 6G services, G4070284777, Verbundprojekt: Open 6G Hub - Open6GHub -, Teilvorhaben: Open 6G Labs Kaiserslautern: Organische, nachhaltige und vertrauenswürdige 6G-Mobilfunksysteme für Mensch und Umwelt, Verbundprojekt: Open 6G Hub - Open6GHub -, Teilvorhaben: Entwicklung einer intelligenten Gesamtarchitektur für 6G Kommunikationssysteme zur Integration von verteilter KI, G5953124089
OpenAlex ID: W4406267467