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    Low-frequency broadband sound source localization using an adaptive normal mode back-propagation approach in a shallow-water ocean

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    JAS001798.pdf (3.208Mb)
    Date
    2012-02
    Author
    Lin, Ying-Tsong  Concept link
    Newhall, Arthur E.  Concept link
    Lynch, James F.  Concept link
    Metadata
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    Citable URI
    https://hdl.handle.net/1912/5062
    As published
    https://doi.org/10.1121/1.3672643
    DOI
    10.1121/1.3672643
    Keyword
     Acoustic filters; Acoustic noise; Acoustic radiators; Acoustic signal processing; Backpropagation; Nonlinear acoustics; Numerical analysis; Underwater sound 
    Abstract
    A variety of localization methods with normal mode theory have been established for localizing low frequency (below a few hundred Hz), broadband signals in a shallow water environment. Gauss-Markov inverse theory is employed in this paper to derive an adaptive normal mode back-propagation approach. Joining with the maximum a posteriori mode filter, this approach is capable of separating signals from noisy data so that the back-propagation will not have significant influence from the noise. Numerical simulations are presented to demonstrate the robustness and accuracy of the approach, along with comparisons to other methods. Applications to real data collected at the edge of the continental shelf off New Jersey, USA are presented, and the effects of water column fluctuations caused by nonlinear internal waves and shelfbreak front variability are discussed.
    Description
    Author Posting. © Acoustical Society of America, 2012. This article is posted here by permission of Acoustical Society of America for personal use, not for redistribution. The definitive version was published in Journal of the Acoustical Society of America 131 (2012): 1798-1813, doi:10.1121/1.3672643.
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    • Applied Ocean Physics and Engineering (AOP&E)
    Suggested Citation
    Journal of the Acoustical Society of America 131 (2012): 1798-1813
     

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