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。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 joint filtering algorithm based on dispersive filter theory can effectively reduce the computational burden of the integrated navigation system and enhance the fault-tolerant performance of the system. An adaptive computing method of information distribution coefficient in the joint filtering algorithm is given, which can make the joint system reasonably feedback the global information according to the change of the information quality of each sensor in the navigation process. Simulation results show that this algorithm can effectively reduce the filtering error caused by the degradation of the navigation subsystem.