Wideband discrete transformation of acoustic signals in underwater environments

  • Authors:

  • Nicolas F. Josso;Jun Jason Zhang;Antonia Papandreou-Suppappola;Cornel Ioana;Jerome I. Mars;Cédric Gervaise;Yann Stéphan

  • Affiliations:

  • GIPSA-lab, DIS, Grenoble Institute of Technology, Grenoble, France;School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ;School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ;GIPSA-lab, DIS, Grenoble Institute of Technology, Grenoble, France;GIPSA-lab, DIS, Grenoble Institute of Technology, Grenoble, France;ENSIETA, Université Européenne de Bretagne, Brest Cedex, France;SHOM, Military Center of Oceanography, Brest, France

  • Venue:
  • Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

We propose the use of discrete time-scale transformations of acoustic signals to characterize the wideband effect of underwater environment propagation. The representation depends on the Mellin transform, and it can be used to efficiently process the effect of the underwater environment. For sparse environments, we also consider a new approach with reduced computational complexity. The approach is based on a warping lag-Doppler filtering technique in the wideband ambiguity function plane to separate ray paths and estimate their parameters. We validate the signal representation and filtering approach using real experimental data from the BASE07 experiment.