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Underwater source localization in the presence of strong interference

Li, Haipeng ; Jakobsson, Andreas LU orcid ; Sun, Dajun and Zheng, Cuie (2021) In IET Radar, Sonar and Navigation 15(3). p.226-239
Abstract

The underwater localization of a broadband target in the presence of strong interference and noise has been widely investigated. A novel clutter suppression approach based on oblique projections is proposed, exploiting the prior information of the expected target response. The method uses a generalised likelihood ratio formulation to select the oblique projection best matching the measured data. The performance of the proposed method is verified through numerical examples and measured sonar data. The results indicate that the method provides good performance for time difference of arrival estimation and target localization under low signal to clutter ratio as compared to existing methods.

Please use this url to cite or link to this publication:
author
; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
IET Radar, Sonar and Navigation
volume
15
issue
3
pages
14 pages
publisher
Institution of Engineering and Technology
external identifiers
  • scopus:85100081205
ISSN
1751-8784
DOI
10.1049/rsn2.12031
language
English
LU publication?
yes
id
20b9ddba-80b6-4e48-9df9-7b5e7801123c
date added to LUP
2022-06-28 13:07:36
date last changed
2022-06-28 13:07:36
@article{20b9ddba-80b6-4e48-9df9-7b5e7801123c,
  abstract     = {{<p>The underwater localization of a broadband target in the presence of strong interference and noise has been widely investigated. A novel clutter suppression approach based on oblique projections is proposed, exploiting the prior information of the expected target response. The method uses a generalised likelihood ratio formulation to select the oblique projection best matching the measured data. The performance of the proposed method is verified through numerical examples and measured sonar data. The results indicate that the method provides good performance for time difference of arrival estimation and target localization under low signal to clutter ratio as compared to existing methods.</p>}},
  author       = {{Li, Haipeng and Jakobsson, Andreas and Sun, Dajun and Zheng, Cuie}},
  issn         = {{1751-8784}},
  language     = {{eng}},
  month        = {{03}},
  number       = {{3}},
  pages        = {{226--239}},
  publisher    = {{Institution of Engineering and Technology}},
  series       = {{IET Radar, Sonar and Navigation}},
  title        = {{Underwater source localization in the presence of strong interference}},
  url          = {{http://dx.doi.org/10.1049/rsn2.12031}},
  doi          = {{10.1049/rsn2.12031}},
  volume       = {{15}},
  year         = {{2021}},
}