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Array invariant-based ranging of a source of opportunity

TitleArray invariant-based ranging of a source of opportunity
Publication TypeJournal Article
Year of Publication2017
AuthorsByun G., Kim J.S, Cho C., Song HC, Byun S.H
JournalJournal of the Acoustical Society of America
Volume142
PaginationEL286-EL291
Date Published2017/09
Type of ArticleArticle
ISBN Number0001-4966
Accession NumberWOS:000412100700008
Keywordsblind deconvolution
Abstract

The feasibility of tracking a ship radiating random and anisotropic noise is investigated using ray-based blind deconvolution (RBD) and array invariant (AI) with a vertical array in shallow water. This work is motivated by a recent report [Byun, Verlinden, and Sabra, J. Acoust. Soc. Am. 141, 797-807 (2017)] that RBD can be applied to ships of opportunity to estimate the Green's function. Subsequently, the AI developed for robust source-range estimation in shallow water can be applied to the estimated Green's function via RBD, exploiting multipath arrivals separated in beam angle and travel time. In this letter, a combination of the RBD and AI is demonstrated to localize and track a ship of opportunity (200-900 Hz) to within a 5% standard deviation of the relative range error along a track at ranges of 1.8-3.4 km, using a 16-element, 56-m long vertical array in approximately 100-m deep shallow water. (C) 2017 Acoustical Society of America

DOI10.1121/1.5003327
Student Publication: 
No
Research Topics: 
sharknado