Share Email Print

Proceedings Paper

Noise reduction of FBG sensor signal by using a wavelet transform
Author(s): Yo-Han Cho; Minho Song
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

We constructed a FBG (fiber Bragg grating) sensor system based on a fiber-optic Sagnac interferometer. A fiber-optic laser source is used as a strong light source to attain high signal-to-noise ratio. However the unstable output power and coherence noises of the fiber laser made it hard to separate the FBG signals from the interference signals of the fiber coils. To reduce noises and extract FBG sensor signals, we used a Gaussian curve-fitting and a wavelet transform. The wavelet transform is a useful tool for analyzing and denoising output signals. The feasibility of the wavelet transform denoising process is presented with the preliminary experimental results, which showed much better accuracy than the case with only the Gaussian curve-fitting algorithm.

Paper Details

Date Published: 9 May 2011
PDF: 6 pages
Proc. SPIE 8073, Optical Sensors 2011; and Photonic Crystal Fibers V, 807320 (9 May 2011); doi: 10.1117/12.887186
Show Author Affiliations
Yo-Han Cho, Chonbuk National Univ. (Korea, Republic of)
Minho Song, Chonbuk National Univ. (Korea, Republic of)

Published in SPIE Proceedings Vol. 8073:
Optical Sensors 2011; and Photonic Crystal Fibers V
Kyriacos Kalli; Francesco Baldini; Jiri Homola; Robert A. Lieberman, Editor(s)

© SPIE. Terms of Use
Back to Top