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。
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.
出处
《中国惯性技术学报》
EI
CSCD
1999年第4期43-45,54,共4页
Journal of Chinese Inertial Technology
关键词
组合导航系统
联合卡尔曼滤波
信息融合
integrated navigation system
federated kalman filter
information fusion