New fluid-mechanics-based statistical models of a nominally linear towed-array's shape deformation

Petr Tichavský, Kainam Thomas Wong

Research output: Journal article publicationJournal articleAcademic researchpeer-review

2 Citations (Scopus)

Abstract

This paper develops new quasi-Bayesian statistical models for the geometric deformation of a nominally linear towed array, based on rigorous fluid mechanics. These models of will be expressed in terms of physically meaningful and measurable quantities, which may be calibrated using various empirical tow-array shape deformation studies for diverse oceanic and towing conditions. Towards this end, this paper (1) will advance new statistical models for the towing vessel's temporally correlated motion and the oceanic current's space-time correlated behavior, and (2) will show how such driving forces influence the towed array's fluid mechanics to produce the array's space-time shape deformation - with "space" referring to length along the array's nominal axis. This present analysis is more comprehensive than earlier works, which consider only the effects of temporally uncorrelated motion of the towing vessel and ignore the oceanic-current effects.
Original languageEnglish
Pages (from-to)2841-2844
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume3
DOIs
Publication statusPublished - 1 Jan 2002
Externally publishedYes

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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