单片机与嵌入式系统应用2013，Vol.13Issue(5)：17-20,4.
基于主成分分析法的多传感器数据融合算法研究
Principal Component Analysis Based Research on Multi-sensor Fusion Algorithm
摘要
Abstract
On the basis of multivariate statistical theory in mathematical statistics,using multiple sensors to detect one specific index,with the data obtained,we present a statistical fusion arithmetic based on principal component analysis.This method uses data obtained from multiple sensors as an ensemble and defines each principal component.The comprehensive support degree of each sensor and data fusion formulas were given by calculating complex correlation coefficient between data detected and the principal components.It was showed by experiments that the principal component fusion method owned much more accuracy and effectiveness compared to average fusion method.关键词
主成分分析/多传感器/数据融合Key words
principal component analysis/ multiple sensors/ data fusion分类
信息技术与安全科学引用本文复制引用
童金武,黄廷磊,龙铁光,刘艳红..基于主成分分析法的多传感器数据融合算法研究[J].单片机与嵌入式系统应用,2013,13(5):17-20,4.基金项目
国家自然科学基金资助:面向MRMC的无线移动Mesh网络自适应拓扑控制机制研究(编号:61163059). （编号:61163059）
