Traditional network localization algorithms contain ranging and localization steps, which have systematic disadvantages. We propose an algorithm dubbed direct particle filter based distributed network localization (DiPNet). A node’s location is directly estimated from the received signals, incorporating location uncertainty of neighboring nodes. The propagation effects on DiPNet become insignificant for dense networks, due to the massive-link collective physical layer processing. DiPNet achieves a near-optimal performance with low complexity, which is particularly attractive for realtime dense-network localization.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Distributed Direct Localization Suitable for Dense Networks


    Beteiligte:
    Zhang, Siwei (Autor:in) / Staudinger, Emanuel (Autor:in) / Jost, Thomas (Autor:in) / Wang, Wei (Autor:in) / Gentner, Christian (Autor:in) / Dammann, Armin (Autor:in) / Wymeersch, Henk (Autor:in) / Hoeher, Peter (Autor:in)


    Erscheinungsdatum :

    2019



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Distributed Direct Localization Suitable for Dense Networks

    Zhang, Siwei / Staudinger, Emanuel / Jost, Thomas et al. | IEEE | 2020


    Wheeled mobile robot suitable for dense storage shelf

    ZHOU CHIDONG / WANG SEN / CHEN JIANLI et al. | Europäisches Patentamt | 2023

    Freier Zugriff

    High-voltage direct-current propulsion system suitable for distributed electric propulsion aircraft

    HE PENG / LIU YALI / ZHANG LI et al. | Europäisches Patentamt | 2024

    Freier Zugriff

    Precise vehicle localization in dense urban environments

    Rohde, Jan / Volz, Benjamin / Mielenz, Holger et al. | IEEE | 2016