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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    Title :

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


    Contributors:


    Publication date :

    2021-04-01


    Size :

    1713894 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



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