Acoustic Signal Analysis of the Targets of Distributed Airspace Monitoring System

Acoustic methods of aircraft detection are an alternative method of airspace monitoring that was widely used in the pre-radar era and is now being developed again using new achievements in microelectronics, computer science, and communications. Turning the acoustic channel of an acoustic airspace monitoring system requires an investigation of the parameters of acoustic signals generated by aircraft. The significant number of existed aircrafts, as well as their acoustic signal variation depended of operating mode requires a huge amount of experiments. This paper utilizes the recordings posted on public video and audio data services to analyze acoustic signals. The essence of the analysis is a investigations the spectral composition of acoustic signals for seven classes of aircraft. The obtained results represent the frequency ranges of the three main harmonics of acoustic signals for each class of aircraft. The obtained results provide the possibility of frequency optimization of data acquisition channels of acoustic airspace monitoring systems.