Automatic source localization and spectra generation from sparse beamforming maps

Beamforming is an imaging tool for the investigation of aeroacoustic phenomena and results in high dimensional data that broken down to spectra by integrating spatial Regions Of Interest. This paper presents two methods enable automated identification sources sparse beamforming maps extraction their corresponding overcome manual definition The are evaluated on scaled airframe half-model wind-tunnel measurements a generic monopole source. first relies normal distribution broadband maps. second uses hierarchical clustering methods. Both robust statistical noise predict existence, location, probability estimation based which Interest automatically determined.