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.