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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    Titel :

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


    Beteiligte:
    Martinez, Javier (Autor:in) / Kopyto, David (Autor:in) / Schutz, Martin (Autor:in) / Vossiek, Martin (Autor:in)


    Erscheinungsdatum :

    01.04.2018


    Format / Umfang :

    2456155 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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