基于粒子群算法的空天链路地面干扰站选址问题  

The Location Problem of Ground Jamming Station in Air-Space Link Based on Particle Swarm Optimization

作　　者：朱晗 游凌 杨宇翔 ZHU Han;YOU Ling;YANG Yuxiang(Information Engineering University,Zhengzhou 450001,China;Unit 32076,Chengdu 610041,China)

机构地区：[1]信息工程大学,河南郑州450001 [2]32076部队,四川成都610041

出　　处：《信息工程大学学报》2025年第2期127-133,共7页Journal of Information Engineering University

摘　　要：地面干扰站的选址是空天链路信号干扰实施中的关键一环,直接决定了空天链路干扰的作用范围、干扰效果和成本能耗。通过分析空天链路干扰的实际应用场景,建立选址优化仿真模型,利用融合场景改进的粒子群算法(PSO),针对3种不同优化目标和不同干扰站数量进行实验分析,得出最实用的优化目标和站点数量选取准则,并给出最优布站方案。仿真结果表明,以干扰站最大发射功率最小为优化目标时,布站方案最优,且在增加1个干扰站点时,降低对干扰设备性能要求的效果最明显。The selection of ground jamming station locations is recognized as a critical component in space-to-air link signal interference implementation,as it directly determines the interference coverage,effectiveness,and associated cost-energy consumption.Through analysis of practical application scenarios for space-to-air link interference,a location optimization simulation model was established.An improved particle swarm optimization(PSO)algorithm integrated with scenario fusion was employed to conduct experimental analyses on three distinct optimization objectives and varying numbers of jamming stations.The most practical optimization criteria and quantitative selection principles for station deployment were derived,accompanied by an optimal layout scheme.Simulation results demonstrate that the minimization of maximum transmission power for jamming stations yields the optimal deployment configuration.Furthermore,the introduction of one additional station was observed to most significantly reduce performance requirements for interference equipment.

关 键 词：空天链路 地面干扰站 选址优化 粒子群算法 功率计算 

分 类 号：TN792[电子电信—电路与系统]