Underwater source localization in the presence of strong interference

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...

Full description

Bibliographic Details
Main Authors: Haipeng Li, Andreas Jakobsson, Dajun Sun, Cuie Zheng
Format: Article
Language:English
Published: Wiley 2021-03-01
Series:IET Radar, Sonar & Navigation
Online Access:https://doi.org/10.1049/rsn2.12031
id doaj-636106e614b148a28b587bb8d9d62a0e
record_format Article
spelling doaj-636106e614b148a28b587bb8d9d62a0e2021-08-02T08:30:23ZengWileyIET Radar, Sonar & Navigation1751-87841751-87922021-03-0115322623910.1049/rsn2.12031Underwater source localization in the presence of strong interferenceHaipeng Li0Andreas Jakobsson1Dajun Sun2Cuie Zheng3Acoustic Science and Technology Laboratory Harbin Engineering University Harbin ChinaDepartment of Mathematical Statistics Lund University Lund SwedenAcoustic Science and Technology Laboratory Harbin Engineering University Harbin ChinaAcoustic Science and Technology Laboratory Harbin Engineering University Harbin ChinaAbstract 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.https://doi.org/10.1049/rsn2.12031
collection DOAJ
language English
format Article
sources DOAJ
author Haipeng Li
Andreas Jakobsson
Dajun Sun
Cuie Zheng
spellingShingle Haipeng Li
Andreas Jakobsson
Dajun Sun
Cuie Zheng
Underwater source localization in the presence of strong interference
IET Radar, Sonar & Navigation
author_facet Haipeng Li
Andreas Jakobsson
Dajun Sun
Cuie Zheng
author_sort Haipeng Li
title Underwater source localization in the presence of strong interference
title_short Underwater source localization in the presence of strong interference
title_full Underwater source localization in the presence of strong interference
title_fullStr Underwater source localization in the presence of strong interference
title_full_unstemmed Underwater source localization in the presence of strong interference
title_sort underwater source localization in the presence of strong interference
publisher Wiley
series IET Radar, Sonar & Navigation
issn 1751-8784
1751-8792
publishDate 2021-03-01
description 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.
url https://doi.org/10.1049/rsn2.12031
work_keys_str_mv AT haipengli underwatersourcelocalizationinthepresenceofstronginterference
AT andreasjakobsson underwatersourcelocalizationinthepresenceofstronginterference
AT dajunsun underwatersourcelocalizationinthepresenceofstronginterference
AT cuiezheng underwatersourcelocalizationinthepresenceofstronginterference
_version_ 1721238146984706048