Separation of Aeroacoustic and stationary noise

Abstract: Beamforming algorithms have important application values in many fields such as communication, radar, sonar, and medical imaging. However, conventional sound source localization techniques face significant challenges in locating both rotating and static sound sources simultaneously because of the different kinematic properties of these two sound sources and the complexity that they are usually not in the same plane. In order to overcome these challenges, this paper presents an innovative solution based on a modal combination beamforming and equivalent source approach aimed at effectively separating revolving and stationary sound sources. The proposed model (Rotating-Static Sources Power Propagation model) can be obtained by joining the two equations by exploring the correlation between the equivalent source strength and the actual beamforming output. And then, using the least absolute shrinkage and selection operator (LASSO) technique, revolving and static equivalent sources' positions can be successfully separated. To verify the validity and robustness of this suggested approach, extensive simulation and experimental studies are conducted in this paper., Keywords: Source separation, Sound source localization, Modal composition beamforming, Conventional beamforming, Least absolute shrinkage and selection operator