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

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5 Author(s)

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.

Published in:

Europe Oceans 2005  (Volume:2 )

Date of Conference:

20-23 June 2005