Noise reduction of FBG sensor signal by using a wavelet transform

Yo-Han Cho; Minho Song

doi:10.1117/12.887186

9 May 2011 Noise reduction of FBG sensor signal by using a wavelet transform

Yo-Han Cho, Minho Song

Proceedings Volume 8073, Optical Sensors 2011; and Photonic Crystal Fibers V; 807320 (2011) https://doi.org/10.1117/12.887186
Event: SPIE Optics + Optoelectronics, 2011, Prague, Czech Republic

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.

Citation Download Citation

Yo-Han Cho and Minho Song "Noise reduction of FBG sensor signal by using a wavelet transform", Proc. SPIE 8073, Optical Sensors 2011; and Photonic Crystal Fibers V, 807320 (9 May 2011); https://doi.org/10.1117/12.887186

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