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.
出处
《技术与创新管理》
CSSCI
2008年第2期200-202,共3页
Technology and Innovation Management
关键词
数据融合
最小二乘法
参数辨识
曲线拟合
data fusion
least square method
parameter identification
curve fitting
