J4 ›› 2011, Vol. 28 ›› Issue (4): 495-500.

• 纤维与波导光学 • 上一篇    下一篇

提高光纤光栅传感器测量精度的研究

赵玲君,余震虹,鱼瑛,马仁坤   

  1. 江南大学通信与控制工程学院, 江苏 无锡 214122
  • 收稿日期:2010-05-20 修回日期:2010-08-25 出版日期:2011-07-28 发布日期:2011-07-06
  • 通讯作者: 余震虹(1962-)浙江淳安人,副教授、硕士生导师,主要研究方向为光纤通信和通信信号处理。 E-mail:yuzhenhong1962@163.com
  • 作者简介:赵玲君(1986-),女,江苏扬州人,研究生,主要研究方向为光纤光栅传感。E-Mail: zlj198648@163.com

Method for improving measurement precision of fiber Bragg grating sensor

ZHAO Lingjun,YU Zhenhong,YU Ying,MA Renkun   

  1. School of Communication and Control Engineering, Southern Yangtze University, Wuxi 214122, China
  • Received:2010-05-20 Revised:2010-08-25 Published:2011-07-28 Online:2011-07-06

摘要:

在实际应用中,光纤光栅传感器的测量精度受到噪声,成本等因素的制约。为了实现低成本的高精度光纤光栅传感器系统,提出了对光纤光栅反射谱采用自适应阈值小波消噪和B多节点样条拟合插值算法的处理技术,并通过实验和仿真得出自适应阈值小波消噪,有效提高了系统的信噪比,在相同采样精度下拟合插值处理前波长检测的误差为0.01nm,处理后误差为0.0017nm,误差降低了一个数量级。实验结果证明该方法不但可以有效降低噪声带来的读取误差,而且提高了测量Bragg波长漂移量的分辨率,从而实现高精度地测量温度、应变等外界参量。

关键词: 纤维与波导光学, 波长检测, 自适应阈值小波, B样条拟合, 光纤光栅

Abstract:

In practice, the measurement precision of fiber Bragg grating sensor is limited by the noise, cost and other factors. In order to achieve low-cost and high-precision fiber Bragg grating sensor system,a method is proposed which uses adaptive threshold wavelet denoising and B-spline fitting interpolation algorithm on the fiber Bragg grating reflection spectrum. And two results are obtained by experiment and simulation. One is that adaptive threshold wavelet denoising can effectively improve SNR of the system.The other is that the error of the wavelength testing is 0.01nm before fitting interpolation and 0.0017nm after fitting interpolation under the same sampling precision and error is lowed about an order of magnitude.Experimental results prove that the method can effectively reduce reading errors caused by the noise, and improve the resolution for measurement of fiber Bragg grating wavelength shift in order to achieve high-precision measurement of temperature, strain and other external parameters.

Key words: fiber and waveguide optics, wavelength detection, adaptive threshold wavelet, B- spline fitting, fiber Bragg grating

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