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Multi-Target Sonar Localization Using an Optimal Mass Transport Framework

Yang, Chaoran LU ; Ling, Qing ; Sheng, Xueli ; Mu, Mengfei and Jakobsson, Andreas LU orcid (2024) In IEEE Transactions on Instrumentation and Measurement 73.
Abstract

This article addresses the problem of multi-target localization from acoustic time delay measurements in a 3-D underwater environment, taking into account the depth-dependent sound speed of the underwater wave propagation. Specifically, we formulate the problem as an optimal mass transport (OMT) optimization over a grid of potential candidate positions. By exploiting an iterative refinement approach allowing for off-grid effects, the method allows for robust and accurate positioning of unlabeled underwater target echoes. Using numerical experiments, we illustrate the preferable performance of the presented method as compared to current approaches.

Please use this url to cite or link to this publication:
author
; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Multi-target localization, optimal transport, sonar signal processing, underwater acoustic propagation
in
IEEE Transactions on Instrumentation and Measurement
volume
73
article number
9517512
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • scopus:85204196784
ISSN
0018-9456
DOI
10.1109/TIM.2024.3458031
language
English
LU publication?
yes
additional info
Publisher Copyright: © 1963-2012 IEEE.
id
b83c62fe-58ad-4f29-b092-52318e19e3d5
date added to LUP
2024-12-03 08:55:57
date last changed
2025-04-04 14:39:17
@article{b83c62fe-58ad-4f29-b092-52318e19e3d5,
  abstract     = {{<p>This article addresses the problem of multi-target localization from acoustic time delay measurements in a 3-D underwater environment, taking into account the depth-dependent sound speed of the underwater wave propagation. Specifically, we formulate the problem as an optimal mass transport (OMT) optimization over a grid of potential candidate positions. By exploiting an iterative refinement approach allowing for off-grid effects, the method allows for robust and accurate positioning of unlabeled underwater target echoes. Using numerical experiments, we illustrate the preferable performance of the presented method as compared to current approaches.</p>}},
  author       = {{Yang, Chaoran and Ling, Qing and Sheng, Xueli and Mu, Mengfei and Jakobsson, Andreas}},
  issn         = {{0018-9456}},
  keywords     = {{Multi-target localization; optimal transport; sonar signal processing; underwater acoustic propagation}},
  language     = {{eng}},
  month        = {{07}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{IEEE Transactions on Instrumentation and Measurement}},
  title        = {{Multi-Target Sonar Localization Using an Optimal Mass Transport Framework}},
  url          = {{http://dx.doi.org/10.1109/TIM.2024.3458031}},
  doi          = {{10.1109/TIM.2024.3458031}},
  volume       = {{73}},
  year         = {{2024}},
}