Time-evolving acoustic propagation modeling in a complex ocean environment
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Lermusiaux_Time-evolving.pdf
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3.74 MB
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Checksum (MD5)
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Author(s)
Colin, M. E. G. D.
Duda, Timothy F.
te Raa, L. A.
van Zon, T.
Leslie, Wayne G.
Lam, F. P. A.
Newhall, Arthur E.
Lin, Y.-T
Lynch, James F.
Haley, Patrick
Date Issued
June 2013
Journal
Proceedings of the 2013 MTS/IEEE OCEANS - Bergen
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Colin, M. E. G. D., T. F. Duda, L. A. te Raa, T. van Zon, P. J. Haley, P. F. J. Lermusiaux, W. G. Leslie, et al. “Time-Evolving Acoustic Propagation Modeling in a Complex Ocean Environment.” 2013 MTS/IEEE OCEANS - Bergen (June 2013).
Version
Author's final manuscript
Abstract
During naval operations, sonar performance estimates often need to be computed in-situ with limited environmental information. This calls for the use of fast acoustic propagation models. Many naval operations are carried out in challenging and dynamic environments. This makes acoustic propagation and sonar performance behavior particularly complex and variable, and complicates prediction. Using data from a field experiment, we have investigated the accuracy with which acoustic propagation loss (PL) can be predicted, using only limited modeling capabilities. Environmental input parameters came from various sources that may be available in a typical naval operation. The outer continental shelf shallow-water experimental area featured internal tides, packets of nonlinear internal waves, and a meandering water mass front. For a moored source/receiver pair separated by 19.6 km, the acoustic propagation loss for 800 Hz pulses was computed using the peak amplitude. The variations in sound speed translated into considerable PL variability of order 15 dB. Acoustic loss modeling was carried out using a data-driven regional ocean model as well as measured sound speed profile data for comparison. The acoustic model used a two-dimensional parabolic approximation (vertical and radial outward wavenumbers only). The variance of modeled propagation loss was less than that measured. The effect of the internal tides and sub-tidal features was reasonably well modeled; these made use of measured sound speed data. The effects of nonlinear waves were not well modeled, consistent with their known three-dimensional effects but also with the lack of measurements to initialize and constrain them.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
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Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.1109/OCEANS-Bergen.2013.6608051
