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| 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. , meer
In: Oceans (New York). IEEE: New York. ISSN 0197-7385, meer
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| Beschikbaar in | Auteurs |
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Documenttype: Congresbijdrage
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coastal acoustic tomography; unscented Kalman filter; empirical |
| 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). |
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