摘要
针对多传感器系统的状态估计问题,提出一种基于正交化方法的全信息融合滤波算法。首先,阐述了多传感器系统全信息的概念及其融合结构。其次,推导出融合滤波前、后2次子系统状态估计信息之间的相关矩阵以及子系统状态估计信息与系统状态预测信息之间的相关矩阵,在此基础上实现对子系统状态估计信息与系统状态预测信息的正交化处理。基于信息融合估计理论,通过融合这些正交信息可获得系统的状态估计,且比传统估计方法具有更高的精度。
In allusion to the state estimation of the multi-sensor system, an orthogonalization method based full information fusion filtering algorithm was presented. A concept and a fusion architecture of full information of the multi-sensor system were expounded. A related matrix of pre and post filtering information of sub-system state and a related matrix between sub-system state estimation and system preview information were deduced, based on which the orthogonalization of the sub-system state estimation information and the system preview information was derived. According to the information fusion estimation theory, the system state estimation is obtained through fusing the orthogonal information, which has higher precision than the estimations obtained by the traditional methods.
出处
《中南大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2009年第S1期149-153,共5页
Journal of Central South University:Science and Technology
基金
国家自然科学基金资助项目(60874037)
教育部博士点基金资助项目(20070287050)
中国博士后科学基金资助项目(20080441286)
关键词
多传感器系统
信息融合
滤波
multi-sensor system
information fusion
filtering
