UAVs interfere with the normal operation of high-speed railway frequently in recent years. But the classical UAV monitoring system cannot supervise UAVs effectively. In order to accurately estimate the direction of the UAVs. This paper proposes an application of MUSIC algorithm based on fourth-order cumulant in UAV monitoring system. The simulations verify the performance of the algorithm in high-speed railway environment.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    UAV Direction Estimation in High-Speed Railway Environment


    Beteiligte:
    Zheng, Qi (Autor:in) / Xiao, Manlin (Autor:in) / Shi, Huajie (Autor:in)

    Kongress:

    13th Asia Pacific Transportation Development Conference ; 2020 ; Shanghai, China (Conference Cancelled)



    Erscheinungsdatum :

    2020-06-29




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    UAV Direction Estimation in High-Speed Railway Environment

    Zheng, Qi / Xiao, Manlin / Shi, Huajie | TIBKAT | 2021


    High-Speed Railway

    Tzanakakis, Konstantinos | Springer Verlag | 2013


    High Speed Railway System for Indian Railway

    Mishra, D. C. | IuD Bahn | 2002


    Spanish high speed railway

    Prieto, Felix Garcia | IuD Bahn | 2003


    High speed in railway

    Kure, Gottfried / Defossez, Marc | IuD Bahn | 2008