畸变光谱下光纤布拉格光栅传感网络波长检测优化方法

Wavelength Detection Optimization of Fiber Bragg Grating Sensing Networks Based on Distortion Spectrum

针对光纤布拉格光栅(FBG)传感网络畸变光谱难以解调的问题,在超高斯光谱函数的基础上构造畸变光谱的理论函数,将畸变FBG传感网络光谱的解调问题转化为函数优化问题,提出了基于分布式估计算法的波长解调技术,并对已发生畸变的FBG传感网络进行解调实验。结果表明:分布式估计算法解调算法不仅能够在光谱畸变情况下保持较高的解调精度,其平均误差控制在1 pm以内,而且能够对光谱畸变的程度作出定量估计。与传统峰值检测解调技术相比,该方法解决了FBG传感网络畸变光谱波长难以解调的问题,为延长FBG传感网络使用寿命提供了新的途径,对提升FBG传感网络可靠性具有重要意义。

To address the problem of difficulty in distortion specttum demodulation of fiber Bragg grating(FBG) based sensing networks,we propose a wavelength demodulation technique based on estimation using a distribution algorithm(EDA). We construct a theoretical function of distortion spectrum based on the super Gaussian function and transform the wavelength detection problem of the distorted FBG sensing network into a function optimization problem. The proposed method is used to demodulate the distortion spectrum of a FBG sensing network through an experiment. The results denote that EDA can not only maintain an average detection accuracy within 1 pm even when the spectrum of FBG is distorted but also quantitatively estimate the distortion degree of FBG. When compared with the traditional peak detection methods, the proposed method can effectively identify the Bragg wavelength from a distortion spectrum. The proposed method provides a novel method to extend the service life and enhance the reliability of an FBG sensor network.