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.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

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


    Beteiligte:
    Fang, Zexin (Autor:in) / Han, Bin (Autor:in) / Schotten, Hans D. (Autor:in)


    Erscheinungsdatum :

    07.10.2024


    Format / Umfang :

    954406 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Jammer Localization Through Smart Estimation of Jammer’s Transmission Power

    Aldosari, Waleed / Zohdy, Mohamed / Olawoyin, Richard | IEEE | 2019


    Crowdsourcing GNSS Jammer Detection and Localization

    Strizic, Luka / Akos, Dennis M. / Lo, Sherman | British Library Conference Proceedings | 2018


    Antenna Characterization for UAV Based GPS Jammer Localization

    Perkins, Adrien / Dressel, Louis / Lo, Sherman et al. | British Library Conference Proceedings | 2015


    Jammer Localization: From Crowdsourcing to Synthetic Detection

    Borio, Daniele / Gioia, Ciro / Štern, Andrej et al. | British Library Conference Proceedings | 2016


    Low Cost Collaborative Jammer Localization Using a Network of UAVs

    Ahmed, Naveed / Winter, Adrian / Sokolova, Nadezda | IEEE | 2021