Work

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

Year: 2024

Type: article

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.

Source: Advances in Science and Technology – Research Journal

DOI: 10.12913/22998624/175863

Authors: Waldemar Paszkowski, Arkadiusz Gola, Antoni Świć

Institutions: Silesian University of Technology, Lublin University of Technology

Language: English

Topic: Music and Audio Processing

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $330

Funder: Silesian University of Technology