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一种基于特征值分解的自适应信息融合滤波算法
引用本文:黄显林,王宇飞,胡恒章. 一种基于特征值分解的自适应信息融合滤波算法[J]. 中国惯性技术学报, 1999, 0(4)
作者姓名:黄显林  王宇飞  胡恒章
作者单位:哈尔滨工业大学控制工程系!哈尔滨150001
摘    要:基于分散滤波理论的联合滤波算法,可以有效地降低组合导航系统的计算负担,并且增强系统的容错性能。本文给出了一种联合滤波算法中信息分配系数的自适应计算方法,能够使联合系统根据导航过程中各传感器的信息质量的变化合理地反馈全局信息。仿真结果表明该算法可以有效地降低由于导航子系统降级带来的滤波误差。

关 键 词:组合导航系统  联合卡尔曼滤波  信息融合

An Eigenvaluedecompositionbased Adaptive Information Fusion Filter Algorithm for Integrated Navigation Systems
HUANG Xianlin,WANG Yufei,HU Hengzhang. An Eigenvaluedecompositionbased Adaptive Information Fusion Filter Algorithm for Integrated Navigation Systems[J]. Journal of Chinese Inertial Technology, 1999, 0(4)
Authors:HUANG Xianlin  WANG Yufei  HU Hengzhang
Abstract:The federated filter algorithm based on the decentralized filtering theory can effectively reduce the load of the navigation computer and enhance the fault tolerance capability of the integrated system. An adaptive algorithm to calculate the information allocation coefficients is given.The global information thus can be feasibly fed back according to the change of the estimation quality in the local filters.Simulation result shows that the estimation errors caused by the subsystem degrade are greatly reduced.
Keywords:integrated navigation system  federated kalman filter  information fusion
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