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Acoustic Source Spectral Estimation for a Shallow Water Channel

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Acoustical Imaging

Part of the book series: Acoustical Imaging ((ACIM,volume 23))

Abstract

We aim to find an unbiased estimate of the spectral content of an acoustic source in a shallow water channel, from measurements on an array of acoustic sensors. The acoustic source spectrum is assumed to be a mixture of discrete and continuous spectral components. Due to multipath arrival at the sensors the spectral distribution at any individual sensor is no longer simply a scaled version of the source spectrum. Consequently, spectra associated with individual sensor signals produce biased estimates of the source spectrum.

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References

  1. J. Ianniello, A Matlab version of the KRAKEN normal mode code, TM 94-1096, NUWC/NL, 10/3/94.

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  2. S. M. Kay, Modern Spectral Estimation: theory & application, Prentice-Hall, 1988.

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  3. A. Tolstoy, Matched Field Processing for Underwater Acoustics, World Scientific, 1993.

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© 1997 Springer Science+Business Media New York

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Beex, A.A.L., Tilki, J.F. (1997). Acoustic Source Spectral Estimation for a Shallow Water Channel. In: Lees, S., Ferrari, L.A. (eds) Acoustical Imaging. Acoustical Imaging, vol 23. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-8588-0_75

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  • DOI: https://doi.org/10.1007/978-1-4419-8588-0_75

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-4640-1

  • Online ISBN: 978-1-4419-8588-0

  • eBook Packages: Springer Book Archive

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