基于Steger图像算法的光纤布拉格光栅寻峰技术  

A FBG Spectrum Peak Detection Technique Based on Steger Image Algorithm

作　　者：王巧妮[1] 杨远洪[1,2] 

机构地区：[1]北京航空航天大学精密光机电一体化技术教育部重点实验室,北京100191 [2]北京航空航天大学惯性技术国防科技重点实验室,北京100191

出　　处：《光学学报》2014年第8期125-130,共6页Acta Optica Sinica

基　　金：国家重大科学仪器设备开发专项(2013YQ04081504);创新团队发展计划(IRT1203)

摘　　要：分析了实际光纤布拉格光栅(FBG)反射谱的特性,建立了FBG反射峰超高斯模型。将图像处理技术用于FBG寻峰,提出了一种基于Steger图像算法的FBG寻峰技术,并给出了非对称光谱中心波长修正公式及峰值亚步长修正公式。Steger寻峰算法兼具滤波和寻峰功能,具有较强的抗噪能力,能克服步长限制,有效消除非对称光谱的干扰。通过理论仿真及实际寻峰研究,对比了该算法与不同寻峰算法在不同采样步长、噪声大小、光谱非对称性下的峰值检测精度。结果表明,该方法较质心法、高斯拟合法具有显著优势。A super Gaussian model is established to describe the characteristics of real fiber Bragg grating （FBG） reflective spectrum. Utilizing image processing technique, a FBG peak detection technique based on Steger image algorithm is proposed, which provides a modified formula for the condition of asymmetric spectrum and a sub-step modified formula. Steger peak detection algorithm performs the function of both filter and peak detector to help eliminate the influence of noise, step and asymmetrical spectrum. Theoretical simulations and practical experiments are carried out to estimate the performance of this algorithm under different steps, signal noise ratio （SNR） and level of asymmetry. The results show that the proposed algorithm shows better adaptability and higher accuracy than the Centroid method and Gaussian curve fitting.

关 键 词：图像处理 Steger算法 光纤布拉格光栅 寻峰算法 非对称光谱 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置]