Particle detection and velocity measurement in laser Doppler velocimetry using Kalman filters

被引：0

作者：

Le Duff, A ^{[1
]}

Plantier, G ^{[1
]}

Sourice, A ^{[1
]}

机构：

[1] Ecole Super Elect Ouest, F-49009 Angers 01, France

来源：

2004 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL II, PROCEEDINGS: SENSOR ARRAY AND MULTICHANNEL SIGNAL PROCESSING SIGNAL PROCESSING THEORY AND METHODS | 2004年

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper discusses a processing technique for LDV data, based on the use of two Kalman filters, enabling to detect the presence of particles and to infer their velocity. This method turns out to be suitable for the design of real-time integrated velocimeters. A first estimator, based on the use of a Kalman filter, deals with the amplitude of the Doppler signal. A second one, using an Extended Kalman Filter, allows particle velocity estimation which is assumed to be a constant. Finally, the estimator is studied by means of Monte Carlo trials obtained from synthesized signals, and its performance is then compared to the Cramer-Rao bound.

引用

页码：365 / 368

页数：4

共 9 条

[1]

[Anonymous], T ASME

[2] Estimating particles velocity from laser measurements: Maximum likelihood and Cramer-Rao bounds [J].