In this paper, we propose to use an iterative adaptive approach to perform the Doppler processing in ground-based surveillance radar for drone detection. It overcomes the limited dwell time and improves the Doppler resolution, and therefore significantly enhances the discrimination of micro-Doppler signature and the correct classification of drones. In addition, the target detectability is also improved. This approach is validated in the field experiments conducted with a commercial portable ground-based surveillance radar.


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    Titel :

    Improving the Doppler Resolution of Ground-Based Surveillance Radar for Drone Detection


    Beteiligte:
    Sun, Hongbo (Autor:in) / Oh, Beom-Seok (Autor:in) / Guo, Xin (Autor:in) / Lin, Zhiping (Autor:in)


    Erscheinungsdatum :

    01.12.2019


    Format / Umfang :

    3371213 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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