Real-Time Particle Detection and Velocity Measurement by Means of Laser Doppler Velocimetry

Author

Le Duff, A. ; Plantier, G. ; Gazengel, B.

Author_Institution

Ecole Superieure d´´Electronique de l´´Ouest, Angers

Volume

3

fYear

2005

fDate

16-19 May 2005

Firstpage

2222

Lastpage

2225

Abstract

In this paper, the authors describe a technique for laser Doppler anemometry (LDA) data processing using two Kalman filters in order to detect the presence of particles in the probe volume and to estimate their velocities. This method turns to be suitable for designing real-time integrated velocimeters. A first Kalman filter estimates the magnitude of the Doppler signal and then compares the estimated amplitude to a threshold. A second estimator uses an extended Kalman filter (EKF) to estimate particle velocity which is supposed to be a constant. Finally, this estimator is used in order to perform air velocity measurements in a pipe

Keywords

Kalman filters; flow measurement; laser Doppler anemometry; laser velocimetry; particle detectors; pipe flow; velocity measurement; air velocity measurement; extended Kalman filter; laser Doppler anemometry; laser Doppler velocimetry; particle detection; particle velocity; real-time measurement; Amplitude estimation; Demodulation; Frequency; Interference; Laser beams; Laser velocimetry; Maximum likelihood estimation; Particle measurements; Velocity measurement; Volume measurement; Extended Kalman Filter; Laser Doppler Velocimetry; Particle Velocity; Quadrature Demodulation; Real-time Measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement Technology Conference, 2005. IMTC 2005. Proceedings of the IEEE

Conference_Location

Ottawa, Ont.

Print_ISBN

0-7803-8879-8

Type

conf

DOI

10.1109/IMTC.2005.1604570

Filename

1604570