Underwater source localization in the presence of strong interference | Zendy

Li Haipeng | Zendy; Jakobsson Andreas | Zendy; Sun Dajun | Zendy; Zheng Cuie | Zendy

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Underwater source localization in the presence of strong interference

Author(s) -

Li Haipeng,

Jakobsson Andreas,

Sun Dajun,

Zheng Cuie

Publication year - 2021

Publication title -

iet radar, sonar and navigation

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.489

H-Index - 82

eISSN - 1751-8792

pISSN - 1751-8784

DOI - 10.1049/rsn2.12031

Subject(s) - clutter , interference (communication) , underwater , sonar , computer science , noise (video) , projection (relational algebra) , signal to noise ratio (imaging) , oblique projection , algorithm , acoustics , artificial intelligence , pattern recognition (psychology) , radar , physics , telecommunications , image (mathematics) , geology , channel (broadcasting) , orthographic projection , oceanography

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.

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