Research on FBG sensor signal wavelength demodulation based on improved wavelet transform |
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| Authors: | Yong Chen Li-juan Chen Huan-lin Liu Kun Wang |
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| Institution: | 1. Key Laboratory of Industrial Internet of Things & Network Control, Chongqing University of Posts and Telecommunications, Chongqing 400065, China;2. Key Laboratory of Optical Fiber Communication Technology, Nanan District, Chongqing 400065, China |
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| Abstract: | A new Fiber Bragg Grating (FBG) wavelength demodulation scheme is studied in the paper, which consists of an improved de-noising method and Gaussian fitting peak searching algorithm. The improved translational invariant wavelet without threshold adjust factor is proposed to get a better de-noising performance for FBG sensor signal and overcome the drawbacks of soft or hard threshold wavelets. In order to get a high wavelength demodulation precision of FBG sensor signal, this de-noising method is designed to combine with Gaussian fitting peak searching algorithm. The simulation results show that the wavelength maximum measurement error is lower than 1 pm, and can get a much higher accuracy. |
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| Keywords: | FBG sensor Wavelength demodulation Improved threshold function Translational invariant wavelet SNR |
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