Abstract
In last two decades, many researchers have been involved in acoustic tomography applications. Recently, few algorithms have been dedicated to the passive acoustic tomography applications in a single input single output channel. Unfortunately, most of these algorithms can not be applied in a real situation when we have a Multi-Input Multi-Output channel. In this paper, we propose at first a realistic model of an underwater acoustic channel, then a general structure to separate acoustic signals crossing an underwater channel is proposed. Concerning ICA algorithms, many algorithms have been implemented and tested but only two algorithms give us good results. The latter algorithms minimize two different second order statistic criteria in the frequency domain. Finally, some simulations have been presented and discussed.
The authors are grateful for sustained funds provided by the French Military Center for Hydrographic & Oceanographic Studies (SHOM i.e. Service Hydrographique et Océanographique de la Marine, Centre Militaire d’Océanographie) under research contract CA/2003/06/CMO. The authors are grateful to Dr. M. Legris for discussions and comments.
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Mansour, A., Benchekroun, N., Gervaise, C. (2006). Blind Separation of Underwater Acoustic Signals. In: Rosca, J., Erdogmus, D., PrÃncipe, J.C., Haykin, S. (eds) Independent Component Analysis and Blind Signal Separation. ICA 2006. Lecture Notes in Computer Science, vol 3889. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11679363_23
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DOI: https://doi.org/10.1007/11679363_23
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