Title
Wind speed measurement based on time-of-flight estimation using Extended Kalman Filter
Date Issued
23 August 2013
Access level
metadata only access
Resource Type
conference paper
Author(s)
Federal University of Paraiba
Publisher(s)
Institute of Electrical and Electronics Engineers (IEEE)
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. © 2013 IEEE.
Start page
1182
End page
1187
Language
English
OCDE Knowledge area
Sistemas de automatización, Sistemas de control
Ingeniería eléctrica, Ingeniería electrónica
Subjects
Scopus EID
2-s2.0-84882236598
Source
Conference Record - IEEE Instrumentation and Measurement Technology Conference
Resource of which it is part
Conference Record - IEEE Instrumentation and Measurement Technology Conference
ISSN of the container
10915281
ISBN of the container
9781467346214
Conference
2013 IEEE International Instrumentation and Measurement Technology Conference: Instrumentation and Measurement for Life, I2MTC 20136 May 2013through 9 May 2013
Sources of information:
Directorio de Producción Científica
Scopus