基于IBF算法的无人机中继链路部署问题研究  

Research of UAV Deployment Problem in Communication Relay Link Based on IBF Algorithm

作　　者：方斌[1] 陈特放[1,2] 

机构地区：[1]中南大学交通运输工程学院,湖南长沙410075 [2]中南大学信息科学与工程学院,湖南长沙410075

出　　处：《控制工程》2015年第1期32-37,共6页Control Engineering of China

摘　　要：无人机执行侦察任务时,需要可靠的通信链路作为基础保障,将目标情报数据回传至地面控制中心。通常情况下,仅仅依靠单架无人机的通信能力是无法满足远距离数据传输需求的。通过使用多架无人机构建一条通信中继链路,是一种实现远距离数据传输的可行方案。在存在通信盲区以及无人机使用数目受限等情况下,如何合理的部署无人机以获得较优的通信链路质量,是关注的重点问题。将通信中继链路中无人机部署问题形式化表示为AHOP问题,通过IBF算法给出无人机通信中继链路构建问题的解决方案,开展了仿真试验并进行试验分析,试验结果表明了IBF算法的有效性。When UAVs carry out reconnaissance mission, it needs a reliable communication link as a guarantee for transmitting the target intelligence data back to the ground control station. In most cases, it is impossible to meet the demand of data transmission relying only on one UAV. Using multiple UAVs to build a communication relay link is a feasible method to realize remote data transmission. In the presence of communication blind area and the limited number of available UAVs, how to deploy UAV reasonably in order to get better communication quality, is the focus of concern. We model the UAV deployment problem as an AHOP problem, and propose the IBF algorithm to solve the problem of deploying UAV in the communication relay link. Finally, we carry out simulation experiment, and the experiment result shows the effectiveness of the IBF algorithm.

关 键 词：无人机通信中继 AHOP IBF 算法 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]