Radio frequency interference (RFI) localization is important for ensuring the accuracy and integrity of global navigation satellite system receivers in numerous applications. In this letter, an efficient RFI localization technique is presented based on differential received signal strength (DRSS) measurements from crowdsourcing devices. A DRSS weighting scheme allocates weights to the position solutions of the receivers that detect the RFI. The weighted centroid of the receiver positions generates the RFI location. The method presented in this letter can also provide an initial estimation for the conventional iterative localization approach to improve localization accuracy and convergence speed. Simulation results are presented to demonstrate the effectiveness of the proposed method being used independently or integrated with the iterative method.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Efficient Weighted Centroid Technique for Crowdsourcing GNSS RFI Localization Using Differential RSS


    Beteiligte:
    Wang, Pai (Autor:in) / Morton, Yu T. (Autor:in)


    Erscheinungsdatum :

    01.06.2020


    Format / Umfang :

    1020009 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Crowdsourcing GNSS Jammer Detection and Localization

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


    Weighted Centroid Localization Algorithm Based on Maximum Likelihood Estimation

    Lu, Xianling / Xia, Wenrui | British Library Online Contents | 2016


    Crowdsourcing Arctic Navigation Using Multispectral Ice Classification & GNSS

    Reid, Tyler / Walter, Todd / Enge, Per et al. | Tema Archiv | 2014


    An Improved Weighted Centroid Location Algorithm

    Yang, X. / Kong, Q. / Dai, X. | British Library Online Contents | 2010


    Light Weighted YOLO Vehicle Tracker for Toll Gate Using Centroid Algorithm

    Singh, Pankaj Pratap / Prasad, Shitala / Kalita, Gyanjyoti et al. | Springer Verlag | 2025