@inproceedings{b60b6a1654ba4efd83af5769edbfc91e,
title = "Noise reduction of FBG sensor signal by using a Wavelet Transform",
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.",
keywords = "FBG, Gaussian curve-fitting, Sagnac interferometer, Temperature sensor, Wavelet transform",
author = "Cho, \{Yo Han\} and Minho Song",
year = "2011",
doi = "10.1117/12.887186",
language = "English",
isbn = "9780819486639",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "Optical Sensors 2011; and Photonic Crystal Fibers V",
note = "Optical Sensors 2011; and Photonic Crystal Fibers V ; Conference date: 18-04-2011 Through 20-04-2011",
}