Identifying the precise location of a vehicular mobile is a challenging task because satellite navigation system standalone is unable to give the expected performance in an Urban propagation scenario. This paper proposes a novel technique which integrates ray-tracing simulation tool and Channel Impulse Response (CIR) estimation and improves the vehicular location even in a Dense Multipath (DM) scenario. In this paper, we try to overcome these limitations and propose a novel technique of using the Ray-tracing simulation tool to build a radio frequency map of CIE of every point in the simulation domain. Finally, we match the multipath components drawn estimated to a defined location. The proposed scheme is comparatively much accurate to other state-of-art techniques for position estimation.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Enhanced Vehicle Localization in Urban NLoS Using Multipath Ray Tracing Fingerprints


    Beteiligte:


    Erscheinungsdatum :

    01.08.2018


    Format / Umfang :

    1631564 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    NLOS-Multipath Effects on Pseudo-Range Estimation in Urban Canyons for GNSS Applications

    Ercek, R. / De Doncker, P. / Grenez, F. et al. | British Library Conference Proceedings | 2006


    Machine Learning in GNSS Multipath/NLOS Mitigation: Review and Benchmark

    Xu, Penghui / Zhang, Guohao / Yang, Bo et al. | IEEE | 2024


    A Framework for Graphical GNSS Multipath and NLOS Mitigation

    Xu, Penghui / Zhang, Guohao / Zhong, Yihan et al. | IEEE | 2024


    TDOA Localization Scheme with NLOS Mitigation

    Jiang, Wuyang / Ding, Baogang | IEEE | 2020