In this article, an unmanned aerial vehicles detection system is proposed for an X-band ground-based surveillance frequency modulated continuous wave Doppler radar. Two novel features are directly extracted from the Doppler processing results without a time-frequency analysis. Experimental results on measured radar echo signals show that our system consistently outperforms the state of the art in terms of detection accuracy and computational efficiency.


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    Titel :

    Extraction of Global and Local Micro-Doppler Signature Features From FMCW Radar Returns for UAV Detection


    Beteiligte:
    Oh, Beom-Seok (Autor:in) / Lin, Zhiping (Autor:in)


    Erscheinungsdatum :

    01.04.2021


    Format / Umfang :

    1713894 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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