多传感器混合多模型估计的记忆分层融合算法

首先提出了两种局部节点交互多模型状态估计的整体先验信息的近似计算方法；其次，为构造全局融合估计的先验信息，给出了基于Dempster Shaffer证据理论的全局模型后验概率的融合方法，并在此基础上给出了全局等效目标运动模型的概念及其计算方法，上述结果使得基于有记忆分层融合算法的交互多模型估计融合成为可能；为利用融合结果改进局部节点的估计性能，首次提出了基于向局部节点反馈全局模型后验概率的融合反馈机制。仿真实验验证了所提分层有记忆交互多模型估计融合算法的有效性，以及引入反馈机制后对局部节点估计性能的改善。

Hierarchical memory fusion algorithm for multi-sensor hybrid multiple model estimation

First,two approximate methods for calculating overall priori information of local nodes with interacting multiple model filter are developed.Secondly,to obtain global priori information of fusion center,global posteriori model probabilities are got according to the evidence combination rule of Dempster-Shaffer evidence theory,and based on this,the concept of the global equivalent target model is proposed.Based on above results,it is possible to apply a hierarchical memory fusion algorithm to make fusion of ...