Acoustic-Based Drone Detection Using Neural Networks – A Comprehensive Analysis

W. Paszkowski, Akadiusz Gola, A. Świć
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Abstract

The article presents and describes the implementation of research on the detection of a drone in an urban environ - ment using of the sound features. The methods of drone detection were recognized on the basis of modeling and evaluation of the features of the audio and acoustic signal. The authors proposed the use of a neural network model for the needs of drone detection taking into account acoustic measurements in an anechoic chamber and in an urban environment. The final part presents the obtained results of the drone detection. For the purposes of detection, a neural network model was used in order to recognize the obtained images of the spectograms of sound sources.
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利用神经网络进行基于声学的无人机探测--综合分析
文章介绍了利用声音特征探测城市环境中无人机的研究实施情况。无人机检测方法是在对音频和声学信号特征进行建模和评估的基础上确定的。考虑到在消声室和城市环境中进行的声学测量,作者建议使用神经网络模型来满足无人机探测的需要。最后一部分介绍了无人机探测的结果。为了进行检测,使用了神经网络模型来识别声源频谱图的图像。
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