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光纤布拉格光栅传感器峰值跟踪技术的综述与分析

Review and Analysis of Peak Tracking Techniques for Fiber Bragg Grating Sensors.

作者信息

Tosi Daniele

机构信息

School of Engineering, Nazarbayev University, Astana 010000, Kazakhstan.

Laboratory of Biosensors and Bioinstruments, National Laboratory Astana, Nazarbayev University, Astana 010000, Kazakhstan.

出版信息

Sensors (Basel). 2017 Oct 17;17(10):2368. doi: 10.3390/s17102368.

DOI:10.3390/s17102368
PMID:29039804
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5677180/
Abstract

Fiber Bragg Grating (FBG) sensors are among the most popular elements for fiber optic sensor networks used for the direct measurement of temperature and strain. Modern FBG interrogation setups measure the FBG spectrum in real-time, and determine the shift of the Bragg wavelength of the FBG in order to estimate the physical parameters. The problem of determining the peak wavelength of the FBG from a spectral measurement limited in resolution and noise, is referred as the peak-tracking problem. In this work, the several peak-tracking approaches are reviewed and classified, outlining their algorithmic implementations: the methods based on direct estimation, interpolation, correlation, resampling, transforms, and optimization are discussed in all their proposed implementations. Then, a simulation based on coupled-mode theory compares the performance of the main peak-tracking methods, in terms of accuracy and signal to noise ratio resilience.

摘要

光纤布拉格光栅（FBG）传感器是用于直接测量温度和应变的光纤传感器网络中最常用的元件之一。现代FBG询问装置实时测量FBG光谱，并确定FBG布拉格波长的偏移，以便估计物理参数。从分辨率和噪声受限的光谱测量中确定FBG峰值波长的问题，被称为峰值跟踪问题。在这项工作中，对几种峰值跟踪方法进行了综述和分类，概述了它们的算法实现：讨论了基于直接估计、插值、相关、重采样、变换和优化的方法在所有提出的实现中的情况。然后，基于耦合模理论的仿真在精度和抗信噪比方面比较了主要峰值跟踪方法的性能。

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