Experimental Estimation of Direction Finding to Unmanned Air Vehicles Algorithms Efficiency by Their Acoustic Emission
Vladimir Oleynikov, Oleg Vladimirovich Zubkov, Vladimir M. Kartashov, Igor Koryttsev, Sergiy Sheiko, С. И. Бабкин · 2019
The paper is devoted to a reliable information extraction by a passive sodar with a microphone array. The main attention is paid to the efficiency of target bearing estimation algorithms and to the targets resolution. The investigation is carried out in an experimental way by the described measuring set, which includes standard units and a linear microphone array, for narrowband, broadband receiving acoustic signals and for different receiving conditions. Such methods, as Bartlett's, Capone's and the cross-correlation function method are investigated and presented with their bearing characteristics and resolution parameters. The results show that in real acoustic systems for detecting small targets, namely unmanned air vehicles, and defining a bearing on them, the microphone array represents a powerful tool, if acoustic signals are being processed according to the cross-correlation function method of direction-finding. Also it is shown how with the signal filtration to adapt a system to processing broadband acoustic signals in a presence of acoustic noise and interference.