Gaussian-LM算法在光纤布拉格光栅反射光谱寻峰中的应用

胡正文; 庞成鑫; 程冯宇

doi:doi:10.3788/lop54.013001

激光与光电子学进展, 2017, 54 (1): 013001, 网络出版: 2017-01-17

Gaussian-LM算法在光纤布拉格光栅反射光谱寻峰中的应用下载： 718次

Application of Gaussian-LM Algorithm in Fiber Bragg Grating Reflection Spectrum Peak Search

论文大纲

胡正文 ^*庞成鑫程冯宇

作者单位

上海电力学院电子与信息工程学院, 上海 200090

光谱学 LM算法高斯拟合光纤布拉格光栅光谱寻峰 spectroscopy LM algorithm Gaussian fitting fiber Bragg grating spectrum peak search

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摘要

针对光谱仪采样获得布拉格光栅反射谱含有干扰严重的噪声的问题, 采用Levenberg-Marquardt (LM)算法对高斯曲线拟合系数进行优化, 并使用优化后的Gaussian-LM算法对采样的光纤布拉格光栅的反射谱进行寻峰。通过寻峰结果的对比分析, 验证了Gaussian-LM算法对高斯曲线系数优化的重要性, 实验结果表明Gaussian-LM寻峰算法可以有效减小寻峰误差。对基于波长解调原理的光纤布拉格光栅传感系统而言, 提高了中心波长检测的准确度和稳定性。

Abstract

The analysis of the sampled fiber Bragg grating reflection spectrum usually obtained with so much noise. Levenberg-Marquardt (LM) algorithm is used to optimize the Gaussian curve fitting coefficient and the optimized Gaussian-LM algorithm is used for fiber Bragg grating spectrum peak detection. The comparison of the peak search results proves that the Gaussian-LM algorithm is important for optimizing the Gaussian curve coefficient. Research shows that Gaussian-LM peak detection algorithm can effectively reduce the peak error. It also improves stability of central wavelength detection and accuracy in fiber Bragg grating sensor system based on wavelength demodulation system.

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胡正文, 庞成鑫, 程冯宇. Gaussian-LM算法在光纤布拉格光栅反射光谱寻峰中的应用[J]. 激光与光电子学进展, 2017, 54(1): 013001. Hu Zhengwen, Pang Chengxin, Cheng Fengyu. Application of Gaussian-LM Algorithm in Fiber Bragg Grating Reflection Spectrum Peak Search[J]. Laser & Optoelectronics Progress, 2017, 54(1): 013001.

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