A General Structure for the Separation of Underwater Acoustic Signals
Résumé
Acoustic tomography is an issue of great importance in many applications. Few algorithms have been dedicated to the passive acoustic tomography of a single input single output (SISO) channel. As matter of fact, most of those algorithms can not be applied in a real situation i.e. for a Multi-Input Multi-Output (MIMO) channel. In this paper, we discussed at first the features of the acoustic channel and signals then we proposed an architecture to separate acoustic signals issued from an acoustic realistic channel. The proposed structures used algorithms based on independent component analysis (ICA). We should mention here that many algorithms have implemented and tested but only two algorithms give good results. The latter algorithms minimize two different second order statistic criteria in the frequency domain. Finally, some simulations have been presented and discussed.