Bistatic bottom reverberation in deep ocean: Modeling and data comparison

Xu, Liya; Yang, Kunde; Guo, Xuhong; Li, Hui

doi:10.1109/oceansap.2016.7485385

Cited by 2 publications

(1 citation statement)

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“…Geoacoustic inversion is an effective method to investigate the properties of sediments without sampling from seafloor directly. A variety of different inversion techniques have been applied in geoacoustic models, including matched field processing [1][2][3], bottom reflection analysis [4], and model dispersion inversion [5,6]. In matched field processing, array-processing algorithms that exploit the full-field structure in the ocean waveguide match the measured field at the array with replicas of the expected field for the location of source and acoustic parameters from propagation models.…”

Section: Introductionmentioning

confidence: 99%

Sequential Geoacoustic Inversion Using an Improved Kalman Particle Filter

Liu

Yang

2020

JMSE

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Geoacoustic inversion is an efficient method to study the physical properties and structure of ocean bottom while sequential geoacoustic inversion is a challenging task due to the complexity and non-linearity of the underwater environment. In this paper, an ensemble Kalman Particle filter is described to address the sequential geoacoustic inversion problem of range-dependent environment in shallow water. This filter combines the advantages of Particle filter and ensemble Kalman filter so its ability of tracking dynamical geoacoustic parameters is improved. The proposed filtering method is demonstrated with simulated data in a changing oceanic environment and outperforms Particle filter and ensemble Kalman filter. This method is also tested in sea-trial data collected from a shallow-water experiment in the East China Sea. The inverted sound speed in sediment is consistent with in situ measurement and the error between transmission loss predicted by inverted parameters, and the experimental transmission loss is small.

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