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一种无人机蜂群飞行同步检测和抑制方案 被引量:1

Countermeasures Against UAV Swarm Through Detection and Suppression of Fly Synchronization
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摘要 该文研究了无人机蜂群飞行同步的检测和干扰方案,把无人机蜂群飞行同步过程看作复杂系统的涌现效应,提出一种基于双阈值的涌现判定算法。通过同时监测目标系统飞行同步过程中的熵差和网络连通度,克服已有算法因忽略网络状态监控而误判的问题,准确及时地识别飞行同步的发生、达成和失败,为控制抑制时机提供坚实的前提基础。以平均功率为约束设计带内干扰行为,从使目标系统通信容量降低的角度建立干扰行为模型,并通过仿真分析其效能。研究发现,低强度持续干扰可有效迟滞目标系统同步过程、延长同步时间,且具有更好隐蔽性;中等强度持续干扰可快速终止飞行同步过程。基于以上分析,首次根据破坏和迟滞的不同作战意图设计了无人机蜂群飞行同步的反制方案。通过仿真验证了其有效性。 This paper studies the detection and suppression mechanisms of fly synchronization of Unmanned Aerial Vehicle(UAV)swarm.Fly synchronization process is viewed as emergence in the complex system.A detection algorithm is proposed based on emergence identification with double thresholds.By simultaneously monitoring the entropy difference of flight synchronization process and network connectivity of the target system,the misjudgment of existing algorithms caused by ignoring the network status is overcomed,and the occurrence,achievement,or failure of fly synchronization is accurately identified,which provides a solid prerequisite for the timing control of the suppression mechanism.In-band radio interference behavior is designed under the constraint of average power.The interference behavior modeled from the perspective of degrading the target system’s communication capacity and the effect is analyzed through simulations.It is found that low-intensity continuous interference can effectively delay the fly synchronization process and prolong the time of that.What’s more,it has better concealment.Medium-intensity continuous interference can rapidly stop that process.Based on the above perception,for the first time,countermeasures for the UAV swarm’s fly synchronization are designed according to different operational intentions of delay and disruption.Simulation results show the effectiveness of the countermeasures.
作者 张霞 余道杰 刘广怡 白艺杰 王钰 ZHANG Xia;YU Daojie;LIU Guangyi;BAI Yijie;WANG Yu(Institute of Information System Engineering,PLA Strategic Support Force Information Engineering University,Zhengzhou 450000,China)
出处 《电子与信息学报》 EI CSCD 北大核心 2023年第12期4317-4326,共10页 Journal of Electronics & Information Technology
关键词 无人机蜂群 反制 飞行同步 带内干扰 涌现 UAV swarm Countermeasure Fly synchronization In-band interference Emergence
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