面向情报对抗的战场侦察建模研究  

Modeling of Battlefield Reconnaissance Objected to Intelligence Counterwork

作　　者：孔向华[1] 何鹏程[1] 胡睿[1] 

机构地区：[1]国防大学信息作战与指挥训练教研部,北京100091

出　　处：《系统仿真学报》2013年第S1期12-16,共5页Journal of System Simulation

基　　金：国家自然科学基金(61203140)

摘　　要：为受训者提供体现战场情报对抗特点的训练环境是大型战争模拟系统情报建模的主要目的之一。但传统情报建模对隐蔽、欺骗等情报对抗行为考虑不够,对侦察模型的抽象失之于简单,难以表现对抗效果。基于感知真实和情报分级机制建立面向情报对抗的侦察行为模型,适当提高建模分辨率,将侦察过程区分为发现、融合两个阶段,给出基于侦察范围、侦察概率和发现时间的侦察发现算法和基于发现融合的跟踪识算法。最后给出侦察-隐蔽情报对抗下的战场单元的侦察发现示例,验证模型可行性,充分表现了隐蔽、欺骗行为对侦察行为的制约和影响,体现了鲜明的对抗性。The training environment with the character of battlefield Intelligence Counterwork(IC) for trainees is one of the main purposes of the large-scale warfare simulation system intelligence modeling.Traditional intelligence modeling is not enough to consider IC acts of concealment and deception,at the same time the reconnaissance model is too simple to demonstrate the effect of confrontation.With a separation of the course of reconnaissance into two phases of discovery and fusion,the reconnaissance behavior model objected to IC based on the perceptive-reality and intelligence classification mechanism increased the modeling resolution appropriately,and put forward a tracking-recognition algorithm based on the reconnaissance range,probability and time.Finally,an IC example of the reconnaissance-concealment validates the model feasibility,which fully demonstrates the constraints and impact of hidden cheating against reconnaissance behavior,so the character of battlefield IC is embodied lively.

关 键 词：情报对抗 战争模拟 战场侦察 感知真实 行为建模 

分 类 号：E83[军事—战术学] TP391.9[自动化与计算机技术—计算机应用技术]