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基于粉红噪声去除和频谱失真校正的光纤布拉格光栅解调算法

Pink noise removal and spectral distortion correction based fiber Bragg grating demodulation algorithm.

作者信息

Shang Qiufeng, Fan Song, Qin Wenjie, Yao Guozhen

出版信息

Opt Express. 2022 Jan 17;30(2):1066-1080. doi: 10.1364/OE.447670.

DOI:10.1364/OE.447670
PMID:35209250
Abstract

Pink noise and spectral distortions affect the demodulation accuracies of fiber Bragg gratings (FBGs). A noise reduction algorithm with Savitzky-Golay filtering on each intrinsic mode function component decomposed by CEEMDAN, followed by signal reconstruction from the filtered components, is presented herein. Simulations show that the algorithm retains FBG signal details while reducing noise, avoids measurement errors from excessive smoothing, and suppresses white and pink noises adequately. A resolution-enhanced peak detection algorithm with distortion spectrum correction is also proposed with high accuracy and simple calculation. The experimental results show that the goodness of fit of the FBG temperature-wavelength curve R improves from 0.9826 to 0.9999.

摘要

粉红噪声和频谱失真会影响光纤布拉格光栅(FBG)的解调精度。本文提出了一种降噪算法,该算法对经CEEMDAN分解的每个本征模式函数分量进行Savitzky-Golay滤波,然后从滤波后的分量进行信号重构。仿真结果表明,该算法在降低噪声的同时保留了FBG信号细节,避免了过度平滑导致的测量误差,并能充分抑制白噪声和粉红噪声。还提出了一种具有失真频谱校正的分辨率增强型峰值检测算法,该算法精度高且计算简单。实验结果表明,FBG温度-波长曲线的拟合优度R从0.9826提高到了0.9999。

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