Accurate demodulation algorithm for multi-peak FBG sensor based on invariant moments retrieval

被引：20

作者：

Guo, Yu ^{[1
,2
]}

Yu, Chao ^{[1
]}

Ni, Yi ^{[1
]}

Wu, Haodong ^{[3
]}

机构：

[1] Jiangnan Univ, Sch Internet Things Engn, Lihu Ave 1800, Wuxi 214122, Jiangsu, Peoples R China

[2] Nanjing Univ, Coll Engn & Appl Sci, Microwave Photon Technol Lab, Hankou Rd 22, Nanjing 210093, Peoples R China

[3] Nanjing Univ, Sch Phys, Hankou Rd 22, Nanjing 210093, Peoples R China

来源：

OPTICAL FIBER TECHNOLOGY | 2020年 / 54卷

基金：

中国国家自然科学基金;

关键词：

FBG; Multi-peak; Demodulation algorithm; Random scanning; CROSS-CORRELATION; INSTRUMENTATION; INTERPOLATION;

D O I：

10.1016/j.yofte.2019.102129

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A multi-peak fiber Bragg grating (FBG) sensor demodulation algorithm is proposed. To the best of authors' knowledge, this is the first multi-peak FBG demodulation algorithm based on invariant moments retrieval (IMR) instead of FBG peak detection. Based on the proposed method, 36 data points of FBG spectra are only need to be sampled for accurate demodulation of four FBG sensor network. Besides, the sampled spectrum can be any part of whole spectrum. In comparison with other algorithm based on data processing of FBG's whole spectrum or detection of FBG's peak, the proposed method has high precision with respect to measurement and lower requirement with respect to the data sampling resolution, which is valuable for micro-strain demodulation.

引用

页数：9

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