面向航空导航的通信路径动态优化算法研究  

Research on dynamic optimization of communication path oriented to aviation navigation

作　　者：王珺[1] WANG Jun(Xi'an Aeronautical Polytechnic Institute,Xi’an 710089,China)

机构地区：[1]西安航空职业技术学院

出　　处：《电子设计工程》2020年第2期86-90,共5页Electronic Design Engineering

摘　　要：针对航空导航通信系统中即时性通信以及突发状况下的通信路径转换需求,文中研究一种基于蚁群聚类算法的面向航空导航的通信路径动态优化算法。在分析航空通信导航系统组成和工作原理的基础上,利用蚁群聚类算法实现对航空导航通信的地面导航站通信路径选择。通过将信道竞争时延较大以及发生突发性干扰或故障的地面站作为障碍物,同时结合飞机自身的位置信息,通过聚类迭代获得当前时刻最优通信地面站,并利用蚁群训练结果实现实时性动态的导航通信最优路径选择。仿真结果验证了,文中所提方法可以有效实现最优通信路径的动态优化,同时算法的迭代收敛性也验证了算法动态实现的可行性。In order to meet the requirements of instant communication and communication path conversion in emergencies,a dynamic optimization algorithm of communication path for aviation navigation based on ant colony clustering algorithm is studied in this paper.Based on the analysis of the composition and working principle of aviation communication and navigation system,this paper uses ant colony clustering algorithm to realize the communication path selection of ground navigation station for aviation navigation communication.By using ground station with large channel competition delay and sudden interference or failure as obstacles,and combining with the position information of aircraft itself,the optimal communication ground station in current time can be obtained by clustering iteration.Using ant colony training results,real-time dynamic navigation communication optimal path selection can be achieved.The simulation results show that the proposed method can effectively realize the dynamic optimization of the optimal communication path,and the iterative convergence of the algorithm also verifies the feasibility of the dynamic implementation of the algorithm.

关 键 词：航空导航 蚁群聚类 信道竞争 路径选择 

分 类 号：TN91[电子电信—通信与信息系统]