基于竞争粒子群算法的大气激光通信数据跨层调度研究  

Research on cross layer scheduling of atmospheric laser communication data based on competitive particle swarm optimization algorithm

作　　者：郑章财 徐锋 郑强 ZHENG Zhangcai;XU Feng;ZHENG Qiang(Information and Educational Technology Center Hangzhou City University,Hangzhou 310015,China;Zhejiang University Information Technology Center,Hangzhou 310027,China)

机构地区：[1]浙大城市学院信息与教育技术中心,杭州310015 [2]浙江大学信息技术中心,杭州310027

出　　处：《激光杂志》2023年第12期139-143,共5页Laser Journal

基　　金：国家级自然科学基金(No.710HJ00137)。

摘　　要：不同层之间的大气激光通信数据资源分配不均衡,影响到数据跨层调度效率,提出基于竞争粒子群算法的大气激光通信数据跨层调度方法。采用自适应调制编码技术分析大气激光通信信道状态,对通信数据包实施纠错以及调制编码组合,以此搭建大气激光通信系统模型。以通信系统模型为基础建立跨层资源分配目标函数,将混沌初始化策略和自适应高斯变异算法加入到竞争粒子群算法中,利用竞争粒子群算法获取目标最优解,实现数据跨层调度。实验结果表明,所提方法的误报率最大值仅为2.5%,调度准确度始终在92%以上,调度时间最大值是11.35 ms。The data resource allocation of atmospheric laser communication between different layers is unbalanced,which affects the efficiency of cross layer data scheduling.A cross layer data scheduling method based on competitive particle swarm optimization algorithm is proposed for atmospheric laser communication.The adaptive modulation coding technology is used to analyze the channel state of atmospheric laser communication,and the communication data pack-ets are corrected and combined with modulation coding to build the atmospheric laser communication system model.Based on the communication system model,a cross layer resource allocation objective function is established.Chaos initialization strategy and adaptive Gaussian mutation algorithm are added to the competitive particle swarm optimization algorithm,and the competitive particle swarm optimization algorithm is used to obtain the optimal solution of the target,so as to achieve cross layer data scheduling.The experimental results show that the maximum false alarm rate of the proposed method is only 2.5%,the scheduling accuracy is always above 92%,and the maximum scheduling time is 11.35 ms.

关 键 词：竞争粒子群算法 大气激光通信 跨层调度 混沌初始化策略 自适应高斯变异 

分 类 号：TN929[电子电信—通信与信息系统]