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  A recurrent plot based stochastic nonlinear ray propagation model for underwater signal propagation

Haiyang, Y., Haiyan, W., Yong, X., Kurths, J. (2020): A recurrent plot based stochastic nonlinear ray propagation model for underwater signal propagation. - New Journal of Physics, 22, 063025.
https://doi.org/10.1088/1367-2630/ab8caf

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Item Permalink: https://publications.pik-potsdam.de/pubman/item/item_24057 Version Permalink: https://publications.pik-potsdam.de/pubman/item/item_24057_5
Genre: Journal Article

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 Creators:
Haiyang, Yao1, Author
Haiyan, Wang1, Author
Yong, Xu1, Author
Kurths, Jürgen2, Author              
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: A stochastic nonlinear ray propagation model is proposed to carry out an exploration of the nonlinear ray theory in underwater signal propagation. The recurrence plot method is proposed to quantify the ray chaos and stochastics to optimize the model. Based on this method, the distribution function of the control parameter δ is derived. Experiments and simulations indicate that this stochastic nonlinear ray propagation model provides a good explanation and description on the stochastic frequency shift in underwater signal propagation.

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 Dates: 2020-04-232020-04-232020
 Publication Status: Finally published
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1088/1367-2630/ab8caf
PIKDOMAIN: RD4 - Complexity Science
MDB-ID: Entry suspended
Organisational keyword: RD4 - Complexity Science
Working Group: Network- and machine-learning-based prediction of extreme events
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Title: New Journal of Physics
Source Genre: Journal, SCI, Scopus, p3, oa
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Pages: - Volume / Issue: 22 Sequence Number: 063025 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/1911272
Publisher: IOP Publishing