现代战争复杂多变的特点要求指挥人员提高快速决策的能力。在作战仿真推演系统研究的基础上,分析了基于实时态势推演系统与离线仿真推演系统的区别,对基于实时态势的作战推演方法、推演系统架构、态势接入与处理技术开展研究。针对态势信息中部分目标型号不明的情况,提出一种KNN邻近分类算法用于解决未知目标模型匹配,最终成果已经应用到某指挥信息系统当中。

Due to complex and multivariate characters of the modern warfare, the commanders are required to improve their ability of making decisions quickly. Based on the research on warfare simulation and deduction system, the differences between real-time situation and off-line simulation deduction systems are analyzed. And the operation deduction method, the deduction system frame, and the situation capturing and processing technology are studied respectively. As for uncertain target types of the situation information, a new KNN (K-Nearest Neighbor) algorithm is proposed to match with unknown target models. The resulting product has been applied to one theatre command information system.