基于阈值公共品博弈的无人机集群干扰决策技术  

UAV Swarm Jamming Decision Technique Based on Threshold Public Goods Game Model

作　　者：高阳 田达[1] 吴克钊 陈卓[1] GAO Yang;TIAN Da;WU Kezhao;CHEN Zhuo(The 8511 Research Institute of CASIC,Nanjing 210007,China;The Second Academy of CASIC,Beijing 100854,China)

机构地区：[1]中国航天科工集团8511研究所,江苏南京210007 [2]中国航天科工集团第二研究院,北京100854

出　　处：《无线电通信技术》2022年第6期1034-1038,共5页Radio Communications Technology

摘　　要：无人机集群的智能化军事应用受到了业界普遍关注。结合对敌防空压制电磁作战场景,建立面向无人机集群协同干扰的阈值公共物品博弈模型。借鉴人类社会中的集体行动协调机制,引入内生性惩罚措施,在满足所需功率阈值的前提下,从最大化自身行为回报的角度出发,对集群中各个节点进行行为策略更新,同时结合仿真实验,分析集群中节点的行为模式变化情况。仿真分析表明,该方法为集群协同干扰自主决策提供了一条有效途径,集群中各节点可以在只关注自身与外部环境变化的情况下实现群体之间的协作,同时在所需干扰阈值功率变化的情况下,集群投入的干扰功率资源可自行动态调整优化。The intelligent military application of UAV swarms has attracted widespread attention in the defense community.Taking into account the scenario of Suppression-of-Enemy-Air-Defense(SEAD)electromagnetic spectrum operations,a Threshold Public Goods Game(TPGG)model for UAV swarm jamming coordination is proposed.Inspired by the mechanism of collective action coordination in human society,an endogenous punishment measures is introduced in swarm jamming decisions,say,each individual updates its behavior strategies from the perspective of maximizing one’s own reward under the premise of satisfying the required power threshold.Evolution of the behavior during the operation for each member of the swarm is analyzed through simulation.The simulation demonstrates that the proposed method may provide a feasible solution for UAV swarm to achieve autonomous coordination in jamming operations,where each member in the swarm acting as an agent that makes decision according to its own condition and the changes of the external environment.Meanwhile,the UAV swarm dynamically adjusts the jamming resource allocated to optimize the cost-effectiveness as the required jamming power threshold changes.

关 键 词：无人机集群 阈值公共品博弈 强化学习 内生性惩罚 

分 类 号：TN919.3[电子电信—通信与信息系统]