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Geoacoustic Inversion Using Physical–Statistical Bottom Reverberation Model in the Deep Ocean

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Abstract

Reverberation is an important ocean phenomenon that involves bottom properties. This paper proposes a method of geoacoustic inversion using bottom reverberation in the deep ocean. Models for the probability density function, including Rayleigh, Lognormal normal, K, and Weibull distributions, are commonly used to describe the envelope of bottom reverberation. Based on the measured data in South China Sea, the envelope of bottom reverberation in the experiment is consistent with K distribution. A double exponential distribution is used to generate the amplitude of reverberation, of which the envelope obeys the K distribution. In addition, the propagation and scattering models are introduced as the parameters of double exponential function, wherein the model has a physical mechanism. Therefore, a bottom reverberation model with both physical and statistical characteristics is suitable for geoacoustic inversion. The cost function is used to minimize the mean square difference between the measured and modeled envelope of the bottom reverberation. The inversion results are consistent with those from previous research.

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Acknowledgements

We thank all the researchers and staff for their help in the research program of the SCS in the summer of 2014.

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Authors and Affiliations

  1. School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an, 710072, China

    Liya Xu, Kunde Yang & Qiulong Yang

  2. Key Laboratory of Ocean Acoustics and Sensing (Northwestern Polytechnical University), Ministry of Industry and Information Technology, Xi’an, 710072, China

    Liya Xu, Kunde Yang & Qiulong Yang

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  1. Liya Xu
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  2. Kunde Yang
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Correspondence to Kunde Yang.

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Xu, L., Yang, K. & Yang, Q. Geoacoustic Inversion Using Physical–Statistical Bottom Reverberation Model in the Deep Ocean. Acoust Aust 47, 261–269 (2019). https://doi.org/10.1007/s40857-019-00164-3

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