Share Email Print
cover

Proceedings Paper

Method for self-mixing interference signal analysis based on Kalman filter
Author(s): Yuyan Zhang; Yutian Wang; Xiaoyuan Luo; Rui Ren
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

In this paper, a new signal processing method based on Kalman filter is presented for self-mixing displacement sensor. Based on the approximate linearized model of a LD, the robust Kalman filter is designed for an estimation of system parameters and target displacement. The proposed signal processing algorithm increases the resolution well beyond half-wavelength, without any external optical components, preliminary separate measurements, or target surface preparation. Simulation analysis and experiments have been done to illustrate the validity and the effectiveness of the method. These results show that the displacement estimation is good with little noise and the estimated accuracy of about λ/20 is achievable.

Paper Details

Date Published: 17 January 2008
PDF: 6 pages
Proc. SPIE 6723, 3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 67230O (17 January 2008); doi: 10.1117/12.782957
Show Author Affiliations
Yuyan Zhang, Yanshan Univ. (China)
Yutian Wang, Yanshan Univ. (China)
Xiaoyuan Luo, Yanshan Univ. (China)
Rui Ren, Academy of Armored Force Engineering (China)


Published in SPIE Proceedings Vol. 6723:
3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment
Junhua Pan; James C. Wyant; Hexin Wang, Editor(s)

© SPIE. Terms of Use
Back to Top