DocumentCode :
616827
Title :
Wind speed measurement based on time-of-flight estimation using Extended Kalman Filter
Author :
Mauricio Villanueva, Juan Moises ; Catunda, Sebastian Y. C. ; Freire, Raimundo Carlos S. ; Costa, Maxwell M. ; Castro Ingaroca, Nestor S.
Author_Institution :
Fed. Univ. of Paraiba-UFPB, Joao Pessoa, Brazil
fYear :
2013
fDate :
6-9 May 2013
Firstpage :
1182
Lastpage :
1187
Abstract :
This paper presents the procedures for the wind speed measurement using ultrasonic transducers. The wind speed measurement is based on the time-of-flight (ToF) ultrasonic estimation that has been estimated using the Extended Kalman Filter (EKF) algorithm. For this purpose it was developed the dynamic system model in state space and was analyzed the convergence of the EKF algorithm. Simulation results are presented considering the presence of additive Gaussian noise.
Keywords :
AWGN; Kalman filters; time-of-arrival estimation; velocity measurement; wind; additive Gaussian noise; dynamic system model; extended Kalman filter; time-of-flight estimation; ultrasonic estimation; ultrasonic transducers; wind speed measurement; Acoustics; Covariance matrices; Estimation; Mathematical model; Transducers; Ultrasonic variables measurement; Wind speed; Extended Kalman Filter; ultrasonic transducers; uncertainties analysis; wind speed measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Instrumentation and Measurement Technology Conference (I2MTC), 2013 IEEE International
Conference_Location :
Minneapolis, MN
ISSN :
1091-5281
Print_ISBN :
978-1-4673-4621-4
Type :
conf
DOI :
10.1109/I2MTC.2013.6555600
Filename :
6555600
Link To Document :
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