基于半对数模型传感器特性函数拟合研究  

Fitting research on characteristic function of sensors based on the semilogarithmic model

作　　者：詹平红[1] 邵桂荣[2] 卢灿举[3] 

机构地区：[1]炮兵学院 [2]运城学院 [3]解放军电子工程学院

出　　处：《传感器世界》2010年第1期13-15,共3页Sensor World

摘　　要：首先,在分析传感器特性曲线拟合既有研究成果的基础上,阐述了当前研究存在的不足。然后,介绍了多元线性回归和最小二乘法等相关理论,以压力传感器为例,建立一种新传感器特性函数模型,通过MATLAB程序实现此模型标定,并对所得方程的显著性进行检验。以算例说明此标定方法简便、适用性强,是一种有效的传感器特性函数拟合方法。First of all, based on analyzing results of the current research about the characteristic curve fitting of sensor, the deficiencies are expounded . Then, a pressure sensor is adopted as example to introduce multiple linear regression, OLS and other related theories and set up a new kind of characteristic function model of sensor. The significance of this model is tested through MATLAB to calibrate model in paper. The calibration algorithm is an effective method for characteristic function fitting of sensor in virtue of its strong applicability and simplicity.

关 键 词：传感器 半对数模型 曲线拟合 线性回归 显著性检验 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置]