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Michalopoulou ZH, Aunsri N. Environmental inversion using dispersion tracking in a shallow water environment. J Acoust Soc Am. 2018;143(3):EL188doi: 10.1121/1.5026245.
Michalopoulou, Z. H., & Aunsri, N. (2018). Environmental inversion using dispersion tracking in a shallow water environment. The Journal of the Acoustical Society of America, 143(3), EL188. https://doi.org/10.1121/1.5026245
Michalopoulou, Zoi-Heleni, and Aunsri, Nattapol. "Environmental inversion using dispersion tracking in a shallow water environment." The Journal of the Acoustical Society of America vol. 143,3 (2018): EL188. doi: https://doi.org/10.1121/1.5026245
Michalopoulou ZH, Aunsri N. Environmental inversion using dispersion tracking in a shallow water environment. J Acoust Soc Am. 2018 Mar;143(3):EL188. doi: 10.1121/1.5026245. PMID: 29604663.
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J Acoust Soc Am. 2018 Mar;143(3):EL188. doi: 10.1121/1.5026245.

Environmental inversion using dispersion tracking in a shallow water environment.

The Journal of the Acoustical Society of America

Zoi-Heleni Michalopoulou, Nattapol Aunsri

Affiliations

  1. Department of Mathematical Sciences, New Jersey Institute of Technology, Newark, New Jersey 07102, USA [email protected].
  2. School of Information Technology, Mae Fah Luang University, Muang District, Chiang Rai Province 57100, Thailand [email protected].

PMID: 29604663 DOI: 10.1121/1.5026245

Abstract

It has been previously shown using synthetic data that dispersion tracking with particle filtering can be used for sediment sound speed inversion. Here, dispersion tracking is performed with data collected in the Gulf of Mexico for sediment sound speed and thickness and water column depth estimation. In this experiment, sound that propagates a long distance from the source allows the identification of dispersion curves reflecting the different group velocities of modal frequencies within and across modes. Although the data are noisy, dispersion curves are tracked with sequential filtering and used for inversion. Probability density functions of the three unknown parameters are obtained. Water column depth is estimated with little uncertainty. The estimated sound speed is representative of sandy sediment and the sediment thickness matches to a large extent prior knowledge.

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