Acoustic-Based Drone Detection Using Neural Networks – A Comprehensive Analysis
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1
Faculty of Organization and Management, Silesian University of Technology, ul. Roosevelta 26-28, 41-800 Zabrze, Poland
2
Faculty of Mechanical Engineering, Lublin University of Technology, ul. Nadbystrzycka 36, 20-618 Lublin
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Faculty of Mechanical Engineering, Poland, Lublin University of Technology, ul. Nadbystrzycka 36, 20-618 Lublin, Poland
Corresponding author
Arkadiusz Gola
Faculty of Mechanical Engineering, Lublin University of Technology, ul. Nadbystrzycka 36, 20-618 Lublin
Adv. Sci. Technol. Res. J. 2024; 18(1):36-47
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ABSTRACT
The article presents and describes the implementation of research on the detection of a drone in an urban environment 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.