基于线阵光电探测器的FBG传感解调算法分析  

Analysis on demodulation algorithm for FBG sensing based on linear array photo electric detector

作　　者：李舒君 祝连庆[1] 张荫民[1] 刘峰[1] 娄小平[1] 

机构地区：[1]北京信息科技大学光电信息与仪器北京市工程研究中心,北京100192

出　　处：《传感器与微系统》2015年第4期49-51,55,共4页Transducer and Microsystem Technologies

基　　金：北京市重大科技计划资助项目(PXM2013-014224-000077)(PXM2012-014224-000019);光电信息与仪器北京市工程研究中心开放课题资助项目(GD20130006);长江学者和创新团队发展计划资助项目(IRT1212)

摘　　要：采用线阵光电探测器光谱采集系统,对光纤Bragg光栅(FBG)传感器反射谱进行数据采集。由于线阵光电探测器采样点数有限,为了研究不同数据个数对FBG反射谱寻峰精度的影响,基于Lab VIEW开发平台,对比分析了FBG传感解调系统中常用的三种寻峰算法:质心法、高斯拟合法和多项式拟合法;比较了不同数据个数下各种算法的性能。实验结果表明:利用反射波峰上7个采样点数据拟合精度最高,并且高斯拟合算法的精度和稳定性能较好。A demodulation system based on linear array photo electric detector is researched and realized to acquire reflective spectrum data of fiber Bragg grating（FBG） sensor. Due to limited number of sampling point of linear photo electric detector, to study impact of different number of datas on peak-searching precision of FBG reflective spectrum, based on the platform of virtual instrument LabVIEW, three commonly used peak-searching algorithms are analyzed and compared in FBG sensor demodulation system, such as centroid method, Gaussian fitting algorithm and polynomial fitting algorithm;advantages and disadvantages of different number of datas are compared and analyzed. Experimental results show that using seven sampling points data on reflection wave produces the lowest error, and precision and stability of Gaussian fitting algorithm is proved to be better.

关 键 词：线阵光电探测器 光纤BRAGG光栅 LABVIEW 寻峰算法 数据个数 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置]