In recent years, one of the important and interesting tasks has become the protection of civilian and military objects from unmanned aerial vehicles (UAVs) carrying a potential threat. To solve this problem, it is required to detect UAVs and activate protective systems. UAVs can be represented as aerodynamic objects of the monoplane or multicopter type with acoustic fingerprints. In this paper we consider algorithm for UAV acoustic detection and recognition system. Preliminary results of analysis of experimental data show effectiveness of proposed approach.


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    Titel :

    Real-time drone detection and recognition by acoustic fingerprint


    Beteiligte:
    Balakin, Maksim (Autor:in) / Dvorak, Anton (Autor:in) / Kurylev, Daniil (Autor:in)


    Erscheinungsdatum :

    13.09.2021


    Format / Umfang :

    1631249 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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