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全域空间无人机集群协同干扰模型
引用本文:赵士杰,李鹏飞,赖莉.全域空间无人机集群协同干扰模型[J].四川大学学报(自然科学版),2022,59(5):051004.
作者姓名:赵士杰  李鹏飞  赖莉
作者单位:四川大学数学学院,中电29所,四川大学数学学院
基金项目:国家重点研发计划资助(2020YFA0714000)
摘    要:为了提高无人机集群的协同干扰效果,本文基于3维方向图函数提出了一个全域空间无人机平台分布优化模型,基于遗传算法求解该模型,并进行了性能分析. 仿真结果显示,与传统的球面及柱面分布相比,该模型得到的主波束方向图的峰值旁瓣电平更优. 在此基础上.本文结合应用背景对无人机位置偏差、无人机毁伤情况、无人机集群容量、群内最小间距以及无人机集群分布范围进行了研究,得到了干扰效果对于误差及参数的依赖性.

关 键 词:无人机集群  协同  干扰  全域空间
收稿时间:2021/10/15 0:00:00
修稿时间:2021/12/7 0:00:00

A cooperative jamming model of UAV cluster in global space
ZHAO Shi-Jie,LI Peng-Fei and LAI Li.A cooperative jamming model of UAV cluster in global space[J].Journal of Sichuan University (Natural Science Edition),2022,59(5):051004.
Authors:ZHAO Shi-Jie  LI Peng-Fei and LAI Li
Abstract:The main concern of this paper is the cooperative jamming problem of UAV cluster. A global space UAV platform distribution optimization model is proposed based on the 3D pattern function. Then the model is solved based on the genetic algorithm. Simulation results show that, compared with the traditional spherical or cylindrical distribution, the peak sidelobe level of the main beam pattern of the model is better. Finally, combined with concrete application backgrounds, the position deviation, damage, cluster capacity, minimum spacing in cluster and the cluster distribution range of UAV are considered, the dependence of the jamming effect of UAV cluster on the error conditions and model parameters is investigated.
Keywords:UAV cluster  Cooperation  Jamming  Global space
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