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: 717次
Application of Gaussian-LM Algorithm in Fiber Bragg Grating Reflection Spectrum Peak Search
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
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.
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.