机动目标空间合群仿真

为了解决空间合群和战场中的事件检测问题，提出了一种新的机动目标的空间群生成算法．该算法通过一级融合获得的信息来定义特征相似度，即归属相似度、位置相似度和速度相似度，并将这些相似度再次融合以求得合群结果．由于测量空间的不确定性被映射到了模糊相似度空间，因此通过模糊匹配机制可解决测量空间的不确定性问题．仿真结果表明，所提算法能实时完成多个级别的空间合群融合，其计算复杂度也比较低，而且在空间合群的态势评估中获得了比较好的结果．

Simulation of Space Group Formation for Maneuvering Target

In order to solve the problems of space group formation and event detection in battlefield, a novel group formation algorithm for maneuvering target was proposed. The property similarities, i.e. attribute similarity, position similarity and velocity similarity, were defined by the information obtained from fusion at level 1, and all were re-fused to calculate the result of group formation. The uncertainty of measurement space was mapped into the fuzzy similarity space and then resolved by the fuzzy match mechanism. The simulation results show that the proposed algorithm can accomplish the multilevel group formation in real time with lower calculation complexity, and better performance can be achieved in the situation assessment for space group formation.