Title :
Sparse representation of channel´s impulse response for underwater inhomogeneities tracking
Author :
Candel, Ion ; Bernard, Christian ; Ioana, Cornel ; Reeb, Bertrand ; Boldo, Didier
Author_Institution :
GIPSA-Lab., Grenoble Inst. of Technol., St. Martin d´Hères, France
Abstract :
In this paper, we propose a method for underwater inhomogeneities characterization using sparse representation of channel´s impulse response. We consider the case of moving vortices created naturally or artificially that do not conserve their physical properties when observed at two distinct positions in space. Existing amplitude-based techniques fail to provide an accurate representation when the physical properties of the dynamic inhomogeneity are altered, but it can be achieved using the decomposition of the inhomogeneity´s impulse response, based on a physically driven decomposition basis. Tests carried out in a reduced scale experimental facility show, on real data, the efficiency of the inhomogeneities tracking.
Keywords :
acoustic signal processing; signal representation; target tracking; underwater acoustic propagation; channel impulse response; impulse response inhomogeneity decomposition; moving vortices; sparse representation; underwater inhomogeneities characterization; underwater inhomogeneities tracking; Abstracts; Indexes; Nonhomogeneous media; Transducers; decomposition; inhomogeneity; sparse representation; underwater acoustics;
Conference_Titel :
Signal Processing Conference (EUSIPCO), 2013 Proceedings of the 21st European
Conference_Location :
Marrakech