Contribution to Passive Acoustic Ocean Tomography- Part IV:
A data Fusion Strategy For Blind Source Separation and Classification

S. Vallez, A. Martin, A. Mansour, C. Gervaise, A. Khenchaf
ENSIETA, E3I2 EA3876,
2 rue Francois Verny
29806 Brest Cedex 9, France

Abstract - In this paper we applied Fusion algorithm in a passive Ocean Acoustic
 Tomography context. We applied several types of independent component analysis algorithms
 an 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 fusions model..
the Belief functions theory to outperform the Blind Source Separation/classification approach.