We present an approach to detect and locate non-cooperative UAVs from their micro-Doppler signature using a narrowband radar in a multi-site configuration. We describe a method for the localization of rotating objects with the geometric information obtained exclusively from their micro-Doppler signatures. This approach only requires very simple transceivers with CW waveforms, in a cost-effective multi-site architecture. A convolutional neural network is used to detect and identify the UAVs by extracting the characteristic features of their micro-Doppler signature. We present simulated and preliminary experimental data that show the technical viability of this concept.


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    Title :

    Convolutional Neural Network Assisted Detection and Localization of UAVs with a Narrowband Multi-site Radar


    Contributors:


    Publication date :

    2018-04-01


    Size :

    2456155 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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