Skip to main content

IMIS

A new integrated search interface will become available in the next phase of marineinfo.org.
For the time being, please use IMIS to search available data

 

[ report an error in this record ]basket (1): add | show Print this page

one publication added to basket [211441]
Dynamic estimation of the sound-speed field in Mediterranean coastal waters
Carriere, O.; Hermand, J.P. (2008). Dynamic estimation of the sound-speed field in Mediterranean coastal waters, in: IEEE (Ed.) Oceans '08 MTS/IEEE Kobe-Techno-Ocean '08. Voyage Toward the Future, Kobe, Japan, April 8-11, 2008. Oceans (New York), 1-3: pp. 708-713. https://dx.doi.org/10.1109/OCEANSKOBE.2008.4531017
In: IEEE (Ed.) (2008). Oceans '08 MTS/IEEE Kobe-Techno-Ocean '08. Voyage Toward the Future, Kobe, Japan, April 8-11, 2008. Oceans (New York), 1-3. IEEE: New York. ISBN 978-1-4244-2125-1. , more
In: Oceans (New York). IEEE: New York. ISSN 0197-7385, more
Peer reviewed article  

Available in  Authors 
Document type: Conference paper

Keyword
    Marine/Coastal
Author keywords
    coastal acoustic tomography; unscented Kalman filter; empirical

Authors  Top 

Abstract
    The acoustic monitoring of space- and time-dependent structures in coastal waters constitutes a complex inverse problem which is attractive to physical oceanography. In this work the use of a nonlinear Kalman filtering scheme is investigated for tracking the evolution of the sound-speed field in a vertical section of a shallow water environment, taking into account the bottom acoustic properties. In support of the MREA/BP'07 experiment southeast of Elba, Italy, prediction results from the NCOM oceanic model provide realistic scenarios to test the tracking algorithm. Constraints in the form of range-distributed observations such as the sea surface temperature (SST) are added in an attempt to obtain uniqueness of the solution. This paper shows that the formulation of the range-resolving inverse problem in a state-space model allows implementing a Kalman-based processor that effectively track the time variations of the 2-D sound-speed field. Furthermore, the estimations are enhanced by using an unscented Kalman filter (UKF) in place of the standard extended Kalman filter (EKF).

All data in the Integrated Marine Information System (IMIS) is subject to the VLIZ privacy policy Top | Authors