Geometric stochastic ray propagation using the special Euclidean group

This paper describes a stochastic model of ray trajectory propagation through a medium—such as the ocean—which has an uncertain sound speed profile. We frame ray propagation as a geometric fractal Brownian motion process on the special Euclidean group of dimension two, SE(2). The framing includes di...

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Main Authors: Paine, Tyler, Bhatt, EeShan
Other Authors: Massachusetts Institute of Technology. Department of Mechanical Engineering
Format: Article
Language:en_US
Published: Acoustical Society of America 2024
Online Access:https://hdl.handle.net/1721.1/155168
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author Paine, Tyler
Bhatt, EeShan
author2 Massachusetts Institute of Technology. Department of Mechanical Engineering
author_facet Massachusetts Institute of Technology. Department of Mechanical Engineering
Paine, Tyler
Bhatt, EeShan
author_sort Paine, Tyler
collection MIT
description This paper describes a stochastic model of ray trajectory propagation through a medium—such as the ocean—which has an uncertain sound speed profile. We frame ray propagation as a geometric fractal Brownian motion process on the special Euclidean group of dimension two, SE(2). The framing includes diffusion parameters to describe how the stochastic rays deviate from the expected rays, and these diffusion parameters are a function of the uncertainty in the sound speed profile. We demonstrate this framing for the classical Munk profile and a double-ducted profile in the Beaufort.
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spelling mit-1721.1/1551682025-01-04T05:56:07Z Geometric stochastic ray propagation using the special Euclidean group Paine, Tyler Bhatt, EeShan Massachusetts Institute of Technology. Department of Mechanical Engineering Woods Hole Oceanographic Institution This paper describes a stochastic model of ray trajectory propagation through a medium—such as the ocean—which has an uncertain sound speed profile. We frame ray propagation as a geometric fractal Brownian motion process on the special Euclidean group of dimension two, SE(2). The framing includes diffusion parameters to describe how the stochastic rays deviate from the expected rays, and these diffusion parameters are a function of the uncertainty in the sound speed profile. We demonstrate this framing for the classical Munk profile and a double-ducted profile in the Beaufort. 2024-06-03T20:53:45Z 2024-06-03T20:53:45Z 2024-04-01 Article http://purl.org/eprint/type/JournalArticle 2691-1191 https://hdl.handle.net/1721.1/155168 Tyler Paine, EeShan Bhatt; Geometric stochastic ray propagation using the special Euclidean group. JASA Express Lett. 1 April 2024; 4 (4): 046002. en_US 10.1121/10.0025522 JASA Express Letters Creative Commons Attribution An error occurred on the license name. https://creativecommons.org/licenses/by/4.0/ application/pdf Acoustical Society of America Acoustical Society of America
spellingShingle Paine, Tyler
Bhatt, EeShan
Geometric stochastic ray propagation using the special Euclidean group
title Geometric stochastic ray propagation using the special Euclidean group
title_full Geometric stochastic ray propagation using the special Euclidean group
title_fullStr Geometric stochastic ray propagation using the special Euclidean group
title_full_unstemmed Geometric stochastic ray propagation using the special Euclidean group
title_short Geometric stochastic ray propagation using the special Euclidean group
title_sort geometric stochastic ray propagation using the special euclidean group
url https://hdl.handle.net/1721.1/155168
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