基于测量数据优化修匀的特性曲线样条插值方法  

Spline Interpolation Method of Characteristic Curve Based on Meliorative Modification of Measuring Data

作　　者：梁锡坤[1] 董文[1] 

机构地区：[1]杭州师范学院信息工程学院,杭州310018

出　　处：《传感技术学报》2006年第6期2585-2587,共3页Chinese Journal of Sensors and Actuators

基　　金：安徽省自然科学基金资助(O3046102);浙江省教育厅科研基金资助(20050718)

摘　　要：针对传感器特性曲线拟合存在的一些问题,提出了测量数据优化修匀思想以有效消除测量数据的随机误差.应用数值处理软件Matlab结合实验数据研究了基于不同修匀方案的特性曲线的三次样条插值表示并提供了可视化的结果.经过对比不难发现,依据优化修匀数据的三次样条插值误差明显减小,可应用于任意类型传感器或其它仪器仪表的特性曲线的描述与分析.On the basis of analysis of some problems in fitting of sensor characteristic curve, a new method concerned with meliorative modification of measuring data is given in order to eliminate the measuring error of original data. Several cubic spline interpolations of characteristic curve are discussed. The numerical experiment result shows that the fitting error can be effectively controlled within the given limitation. Moreover, the method given here can be applied to analyze the characteristic curve of any type of sensors, apparatuses and instruments.

关 键 词：传感器 测量数据 优化修匀 特性曲线 三次样条 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置]