FBG Sensing Noise Reduction Demodulation Algorithm Based on All-phase Filters

被引：4

作者：

Liu Kun ^{[1
]}

Li Xin ^{[1
]}

Jiang Jun-feng ^{[1
]}

Huang Xiang-dong ^{[2
]}

Zhang Hao-jie ^{[2
]}

Wang Chao ^{[1
]}

Liu Chang ^{[1
]}

Liu Tie-gen ^{[1
]}

机构：

[1] Tianjin Univ, Sch Precis Instrument & Optoelect Engn, Tianjin Opt Fiber Sensing Engn Ctr, Inst Opt Fiber Sensing,MEC,Key Lab Optoelect Info, Tianjin 300072, Peoples R China

[2] Tianjin Univ, Sch Elect & Informat Engn, Tianjin 300072, Peoples R China

来源：

ACTA PHOTONICA SINICA | 2018年 / 47卷 / 05期

基金：

中国国家自然科学基金;

关键词：

Fiber Bragg grating; Demodulation algorithm; All-phase filter; Sampling interval; Noise reduction;

D O I：

10.3788/gzxb20184705.0506002

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

A demodulation algorithm based on all-phase filters was proposed for fiber Bragg grating noise reduction. The all-phase filter can configure the filter coefficients rapidly and flexibly according to the frequency characteristics of the fiber Bragg grating signal, which can effectively filter out the high-frequency components mixed in the original signal by controlling the filter boundary adaptively. The analytical expression of the filter was deduced, and the amplitude-frequency characteristics of the filter was analyzed with the digital frequency characteristics of fiber Bragg grating signals. The experimental results show that the proposed filtering algorithm has an adaptive performance in processing fiber Bragg grating signals at different sampling intervals. This algorithm has a similar wavelength stability compared with the Gaussian fitting method, but the average demodulation time is shortened by 10 times. The wavelength demodulation stability is improved by 30% compared with the centroid method.

引用

页数：6

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