【摘要】 分析了C4ISR信息融合系统中态势估计的目标编群问题。应用基于模糊等价关系的方法实现目标编群,并提出一种基于域知识和最近邻法相结合的算法来实现群结构递增形成的策略。该算法易于实现,计算量小,在实时性要求高的态势估计系统中有一定的应用价值。目标编群的结果有助于确定态势元素之间的相互关系,从而解释问题领域的各种行为,辅助指挥决策。更多还原

【Abstract】 Problems about target classification for situation assessment in C~4ISR information fusion system are analyzed. A method based on fuzzy equivalence relation is applied to implement target classification and a synthetic algorithm is presented to fulfill multi-layer structure among groups by using the nearest-neighbor method and field knowledge. The algorithm is simple to implement and has a low computational load, so it is applicable to the highly-demanded real-time situation assessment system. The output of target classification is helpful to determine the relationship (among) situation elements, thus interpreting the actions related to problem field and supporting command decisions.更多还原