| Paper: | SAM-P7.4 | ||
| Session: | Applications of Multichannel Signal Processing | ||
| Time: | Thursday, May 20, 13:00 - 15:00 | ||
| Presentation: | Poster | ||
| Topic: | Sensor Array and Multichannel Signal Processing: Signal detection and estimation | ||
| Title: | PARTICLE DETECTION AND VELOCITY MEASUREMENTS IN LASER DOPPLER VELOCIMETRY USING KALMAN FILTERS | ||
| Authors: | Alain le Duff; ESEO | ||
| Guy Plantier; ESEO | |||
| Anthony Sourice; ESEO | |||
| Abstract: | 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. | ||
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