基于最小二乘法的数据融合技术应用  

Applications of Data Fusion Based on Least Square Method in the Intelligent Measurement System

作　　者：白云[1] 昝宏洋[1] 温乃宁[2] 

机构地区：[1]西安科技大学电气与控制工程学院,陕西西安710054 [2]西安科技大学计算机系,陕西西安710054

出　　处：《技术与创新管理》2008年第2期200-202,共3页Technology and Innovation Management

摘　　要：探讨了一种基于最小二乘法原理的数据融合方法在智能检测系统中的应用,该方法采用并行及各传感器之间组合的融合方式,从而推导出系统适合最小二乘格式的数学模型,再从模型辨识出测量结果并得出系统通用性能曲线,避免了常规检测方法造成的误差。通过实例分别给出了软硬件设计方案,实验结果表明该方法是一种能确保系统测量信息准确性的数据处理方法。The applications of data fusion based on least square method in the intelligent measurement system is discussed, and the fusion pattern which is parallel way and combination of sensors is used and mathematical mode of least square method suited for the system is deduced. According to the mode, measuring result is identified and general performance curve of system is deduced. By the method, errors by normal means can be avoided. Design plan of software and hardware is given by examples. The results manifest that the data processing method is a way to ensure accuracy of measuring information in system.

关 键 词：数据融合 最小二乘法 参数辨识 曲线拟合 

分 类 号：TP274.2[自动化与计算机技术—检测技术与自动化装置] O212.1[自动化与计算机技术—控制科学与工程]