基于群智能优化的多雷达协同任务分配算法  

Multi-radar Collaborative Task Assignment Algorithm Based on Swarm Intelligence Optimization

作　　者：韩如明 孙自强 汪晋[1] HAN Ruming;SUN Ziqiang;WANG Jin(Nanjing Research Institute of Electronics Technology,Nanjing Jiangsu 210039,China)

机构地区：[1]南京电子技术研究所,江苏南京210039

出　　处：《现代雷达》2025年第1期53-56,共4页Modern Radar

摘　　要：针对多雷达协同探测场景下多种协同探测模式并存、多任务分配优化求解复杂的问题,提出了一种基于群智能优化的多雷达协同任务分配算法,构建了以探测目标效能、可用协同模式、参与节点数量为参数的协同策略收益函数。在此基础上,将多任务分配问题转换成了一个组合优化问题,并通过采用群智能优化算法,实现了快速优化求解。仿真结果表明,该文提出的算法可以有效实现多雷达协同任务分配,求解效率高效,满足在线实时性要求。In multi-radar collaborative detection scenario,multi-task optimal assignment becomes complexity due to the coexisting of multiple cooperative modes.To solve this problem,a multi-radar collaborative task assignment algorithm is proposed in this paper,and a gain function of collaborative strategy is constructed based on detection efficiency,usable collaborative modes and the numbers of participant nodes.Then the multi-task assignment problem is converted to a combinational optimization problem,and a swarm intelligence optimization algorithm is used to solve this problem efficiently.Simulation experiments demonstrate that the proposed algorithm can schedule multi-radar collaborative tasks effectively,and satisfied the requirement of online real-time task scheduling.

关 键 词：相控阵雷达 协同任务调度 群智能优化 

分 类 号：TN957.52[电子电信—信号与信息处理]