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Proceedings Paper

LS-SVM based signal processing of reflective fiber optic displacement sensor
Author(s): Xiaodong Wang; Haoran Zhang; Changjiang Zhang; Genliang Feng; Minlan Jiang
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Paper Abstract

A least squares support vector machine (LS-SVM) based signal processing approach of reflective fiber optic displacement sensor is presented. The example for extending measuring range of the sensor using LS-SVM has been illustrated. From the experimental results, it can be clearly seen that not only the measuring range can be extended to the whole response characteristics of the fiber optics displacement sensor effectively, but also a desired linear relationship between the actual displacement and the LS-SVM predicted output can be obtained. This means the method proposed is very effective for the signal processing of the sensor.

Paper Details

Date Published: 20 January 2006
PDF: 6 pages
Proc. SPIE 6027, ICO20: Optical Information Processing, 602749 (20 January 2006); doi: 10.1117/12.668401
Show Author Affiliations
Xiaodong Wang, Zhejiang Normal Univ. (China)
Haoran Zhang, Zhejiang Normal Univ. (China)
Changjiang Zhang, Zhejiang Normal Univ. (China)
Genliang Feng, Zhejiang Normal Univ. (China)
Minlan Jiang, Zhejiang Normal Univ. (China)

Published in SPIE Proceedings Vol. 6027:
ICO20: Optical Information Processing
Yunlong Sheng; Songlin Zhuang; Yimo Zhang, Editor(s)

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