基于对抗博弈下的导弹部队机动路径规划研究  

Research on Maneuver Path Planning of Missile Troops Based on Confrontation Games

作　　者：高展 Gao Zhan(No.96753 Unit of PLA,Ji’nan 271100,China)

机构地区：[1]中国人民解放军96753部队,济南271100

出　　处：《兵工自动化》2024年第10期62-67,共6页Ordnance Industry Automation

摘　　要：针对作战中敌我双方高强度对抗博弈的背景,基于机动路径的节点重要度评估和战场环境构建对抗博弈模型进行研究,构建基于改进神经网络的博弈路径规划方法。该方法主要分为预先路径规划和实时路径规划2个模块,在预先路径规划的基础上,得出初始机动路径方案。根据新的战场环境信息和导弹分队机动位置信息,不断更新神经网络的增益,直到机动路径规划结束,实现实时路径规划。该实时路径规划对常导机动路径选择具有重要参考价值。In view of the background of high-intensity confrontation game between the enemy and ourselves in combat,this paper studies the evaluation of node importance based on maneuvering path and the construction of confrontation game model based on battlefield environment,and constructs a game path planning method based on improved neural network.The method is mainly divided into two modules:pre-path planning and real-time path planning.On the basis of pre-path planning,the initial maneuvering path scheme is obtained,and according to the new battlefield environment information and the maneuvering position information of the missile unit,the gain of the neural network is continuously updated until the end of the maneuvering path planning,and the real-time path planning is realized.The real-time path planning has an important reference value for the path selection of normal navigation maneuver.

关 键 词：对抗博弈 机动路径规划 神经网络 

分 类 号：TJ768[兵器科学与技术—武器系统与运用工程]