DocumentCode :
32678
Title :
Floating Sensor Networks for River Studies
Author :
Tinka, Andrew ; Rafiee, Mehran ; Bayen, Alexandre M.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of California, Berkeley, Berkeley, CA, USA
Volume :
7
Issue :
1
fYear :
2013
fDate :
Mar-13
Firstpage :
36
Lastpage :
49
Abstract :
Free-floating sensor packages that take local measurements and track flows in water systems, known as drifters, are a standard tool in oceanography, but are new to estuarial and riverine studies. A system based on drifters for making estimates on a hydrodynamic system requires the drifters themselves, a communication network, and a method for integrating the gathered data into an estimate of the state of the hydrodynamics. This paper presents a complete drifter system and documents a pilot experiment in a controlled channel. The utility of the system for making measurements in unknown environments is highlighted by a combined parameter estimation and data assimilation algorithm using an extended Kalman filter. The performance of the system is illustrated with field data collected at the Hydraulic Engineering Research Unit, Stillwater, OK.
Keywords :
Kalman filters; data assimilation; flow measurement; flow sensors; hydrodynamics; hydrological techniques; parameter estimation; rivers; sensors; combined parameter estimation; communication network; data assimilation algorithm; drifter system; estuarial studies; extended Kalman hlter; floating sensor networks; free-floating sensor packages; hydrodynamic system; local measurements; oceanography; pilot experiment; riverine studies; water systems; Data assimilation; Fluid flow measurement; Hydrodynamics; Kalman filters; Parameter estimation; Sensor systems and applications; Data assimilation; Kalman filters; hydrodynamics; sensor systems and applications;
fLanguage :
English
Journal_Title :
Systems Journal, IEEE
Publisher :
ieee
ISSN :
1932-8184
Type :
jour
DOI :
10.1109/JSYST.2012.2204914
Filename :
6268424
Link To Document :
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