Contribution to passive acoustic ocean tomography. IV: A data fusion strategy for blind source separation and classification

In this paper we applied fusion algorithm in a passive ocean acoustic tomography context. We applied several types of independent component analysis algorithms on a large number of realistic data and we propose to classify their respective outputs according to the principal properties of the opportunity sources. Finally, we apply a fusion´s model: the belief functions theory to outperform the blind source separation/classification approach.