DocumentCode
54160
Title
Robust, Distributed Estimation of Internal Wave Parameters via Inter-Drogue Measurements
Author
Ouimet, Michael ; Cortes, Jorge
Author_Institution
Dept. of Mech. & Aerosp. Eng., Univ. of California, San Diego, La Jolla, CA, USA
Volume
22
Issue
3
fYear
2014
fDate
May-14
Firstpage
980
Lastpage
994
Abstract
Internal waves are important to oceanographers because, as they travel, they are capable of displacing mass, such as plankton and small fish. This paper considers a group of drogues estimating the physical parameters that determine the dynamics of an ocean linear internal wave. While underwater, individual drogues do not have access to absolute position information and can only rely on inter-drogue measurements. Building on this data and the knowledge of the drogue dynamics under the flow induced by the internal wave, we propose the Vanishing Distance Derivative Detection Strategy to allow individual drogues to determine the wave parameters. We analyze the correctness and robustness of this strategy under noiseless and noisy measurements, respectively. We also introduce a general methodology, termed pth-Order Parameter Fusion, for combining the parameter estimates obtained at different times and characterize its error. Simulations illustrate our results.
Keywords
ocean waves; oceanographic equipment; oceanographic techniques; parameter estimation; Vanishing Distance Derivative Detection Strategy; interdrogue measurements; internal wave parameter distributed estimation; noiseless measurements; noisy measurements; ocean linear internal wave dynamics; parameter estimates; pth-Order Parameter Fusion; robust internal wave parameter estimation; wave parameter determination; Noise measurement; Propagation; Robustness; Sea measurements; Sea surface; Surface waves; Cooperative parameter estimation; Lagrangian dynamics; data fusion; ocean linear internal waves; robustness to error; underwater robotic drifters; underwater robotic drifters.;
fLanguage
English
Journal_Title
Control Systems Technology, IEEE Transactions on
Publisher
ieee
ISSN
1063-6536
Type
jour
DOI
10.1109/TCST.2013.2270952
Filename
6566024
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