无人机基站三维空间位置部署方法设计与验证  

Design and verification of three-dimensional spatial location deployment method for unmanned aerial vehicle base station

作　　者：李朋 曹江 平洋 梁东晨 LI Peng;CAO Jiang;PING Yang;LIANG Dongchen(War Research Institute,Academy of Military Sciences,Beijing 100091,China)

机构地区：[1]军事科学院战争研究院,北京100091

出　　处：《国防科技大学学报》2025年第2期193-201,共9页Journal of National University of Defense Technology

基　　金：国家自然科学基金资助项目(62222121)。

摘　　要：针对无人机基站三维空间部署动态性强、时效性高、约束因素多、耦合性强等特点导致的计算量大、仿真周期长等问题,提出利用高效全局优化(efficient global optimization, EGO)算法来确定无人机基站三维空间部署位置。考虑到EGO算法主要通过最优化改善期望(expectation improvement, EI)函数来获取新的采样点,提出利用改进的差分进化(differential evolution, DE)算法来优化EI函数,改进DE算法通过引入亲本选择框架、后代种群生成策略自适应选择框架来提高寻优能力及收敛速度。利用3个典型的工程问题对改进EGO算法的性能进行测试,结果表明改进后的EGO算法在寻优能力、寻优速度以及稳定性方面都有明显提升。在此基础上,给出了利用改进EGO算法进行无人机基站三维空间部署的应用示例。In order to overcome the problems of high computational complexity and long simulation cycle caused by the characteristics of strong dynamics,high timeliness,multiple constraints,and strong coupling during the three-dimensional spatial deployment of UAV-BS(unmanned aerial vehicle base station),an EGO(efficient global optimization)algorithm was proposed to determine the three-dimensional spatial deployment location of UAV-BS.Considering that the EGO algorithm mainly obtains new sampling points by optimizing the EI(expectation improvement)function,the improved DE(differential evolution)algorithm was proposed to optimize the EI function.The improved DE algorithm improves the optimization ability and convergence speed by adopting the successful parent selecting framework and the offspring generation strategy self-adaptive selection framework.Three typical engineering problems were selected to test the performance of the improved EGO algorithm.The results show that the optimization ability,optimization speed,and stability of the improved EGO algorithm are significantly improved.On this basis,an application example of using the improved EGO algorithm to deploy a UAV base station in three-dimensional space was given.

关 键 词：无人机基站 位置部署 高效全局优化算法 

分 类 号：TN92[电子电信—通信与信息系统]