Time-frequency modeling of shallow water environments: Rigid vs. fluid seabed

Jun Zhang, Bertrand Gottin, Antonia Papandreou-Suppappola, Cornel Ioana

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

When the ocean seabed is considered to be rigid, the ideal waveguide model can be used to model the shallow water environment. However, a more realistic ocean waveguide model treats the ocean floor as a boundary between two different fluid media. In this paper, a frequency-domain characterization of shallow water environments is proposed based on this realistic waveguide model with a fluid boundary. First, the time-frequency characteristics of this model are studied as well as the impact of the environment parameters on the dispersive phenomena. Then a frequency-domain matched filter receiver is designed to obtain time-dispersion diversity once we separate the modes using warping techniques in the time-frequency plane. Simulations demonstrate that the new receiver design improves the bit error rate performance.

Original languageEnglish (US)
Title of host publication2007 IEEE/SP 14th Workshop on Statistical Signal Processing, SSP 2007, Proceedings
Pages740-744
Number of pages5
DOIs
StatePublished - 2007
Event2007 IEEE/SP 14th WorkShoP on Statistical Signal Processing, SSP 2007 - Madison, WI, United States
Duration: Aug 26 2007Aug 29 2007

Publication series

NameIEEE Workshop on Statistical Signal Processing Proceedings

Other

Other2007 IEEE/SP 14th WorkShoP on Statistical Signal Processing, SSP 2007
CountryUnited States
CityMadison, WI
Period8/26/078/29/07

Keywords

  • Dispersive channels
  • Time-dispersion diversity
  • Time-frequency analysis
  • Time-frequency mode separation
  • Underwater acoustic communications

ASJC Scopus subject areas

  • Signal Processing

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    Zhang, J., Gottin, B., Papandreou-Suppappola, A., & Ioana, C. (2007). Time-frequency modeling of shallow water environments: Rigid vs. fluid seabed. In 2007 IEEE/SP 14th Workshop on Statistical Signal Processing, SSP 2007, Proceedings (pp. 740-744). [4301357] (IEEE Workshop on Statistical Signal Processing Proceedings). https://doi.org/10.1109/SSP.2007.4301357