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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    Title :

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


    Contributors:
    Sun, Hongbo (author) / Oh, Beom-Seok (author) / Guo, Xin (author) / Lin, Zhiping (author)


    Publication date :

    2019-12-01


    Size :

    3371213 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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