Acoustic method for identifying the use of unmanned aerial vehicles as sources of emergencies
Abstract
Purpose: further development of the scientific and technical foundations of acoustic monitoring and automated identification of various types of unmanned aerial vehicles that pose a danger to the lives of the civilian population and the normal functioning of the state’s infrastructure.
Method: methods of analysis and synthesis of acoustic signals.
Theoretical implications: the method for automatic detection of unmanned aerial vehicles and determination of their types based on acoustic signals, which combines cluster analysis and wavelet analysis, has been improved.
Practical implications: a control algorithm for the improved method has been developed, which involves the following procedures: 1) monitoring of the acoustic space of the protected area using a system of ground-based automated acoustic control devices and passive location of sources of danger; 2) noise filtering and amplification of the “useful” signal; 3) frequency analysis of the “useful” signal; 4) detection of an unmanned aerial vehicle; 5) identification of the detected unmanned aerial vehicle; 6) development of proposals for anti-crisis decisions.
Papertype: theoretical, practical.
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