Provided are a method and a device for positioning and classifying hidden Markov model (HMM) based-illegal drones by acoustic circular microphone array antenna beamforming. The method for positioning and classifying HMM based-illegal drones by acoustic circular microphone array antenna beamforming comprises the steps of: scanning a sound source in the air through switched beamforming (SBF); identifying the scanned sound source using the HMM and determining the illegal drone to classify drones; and recording sound through microphone elements (ME) and performing tracking based on adaptive recursive least squares (RLS) beamforming using the recorded sound as a tracking reference signal.

    음향원형마이크로폰 배열안테나 빔형성에 의한 HMM 기반 불법드론 분류 및 위치 추적 방법 및 장치가 제시된다. 본 발명에서 제안하는 음향원형마이크로폰 배열안테나 빔형성에 의한 HMM 기반 불법드론 분류 및 위치 추적 방법은 SBF(Switched Beamforming)를 통해 공중에 있는 음원을 스캔하는 단계, 스캔된 음원을 HMM(Hidden Markov Model)을 이용하여 식별하고 불법 드론 여부를 판단하여 분류하는 단계 및 불법 드론일 경우, ME(microphone elements)를 통해 소리를 녹음하고, 녹음된 소리를 추적 기준 신호로 사용하는 적응형 RLS(Recursive Least Squares) 빔포밍에 기초하여 추적을 수행하는 단계를 포함한다.


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    Title :

    HMM Method and Apparatus for Classification positioning and tracking of drones by HMM using acoustic circular microphone array beamforming


    Additional title:

    음향원형마이크로폰 배열안테나 빔형성에 의한 HMM 기반 불법드론 분류 및 위치 추적 방법 및 장치


    Contributors:
    KYUNGHI CHANG (author) / GUO JUNFENG (author) / AHMAD ISHTIAQ (author)

    Publication date :

    2020-12-15


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Korean


    Classification :

    IPC:    G01S RADIO DIRECTION-FINDING , Funkpeilung / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS




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