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计算机工程

• 移动互联与通信技术 • 上一篇    下一篇

基于认知网络的无人机通信网络系统

马云飞 1,苑乐 2,朱菲菲 1   

  1. (1.中国电子科技集团公司第二十七研究所,郑州 450047; 2.中国科学院大学,北京 100049)
  • 收稿日期:2015-07-07 出版日期:2016-07-15 发布日期:2016-07-15
  • 作者简介:马云飞(1979-),男,工程师,主研方向为无人机飞行控制系统;苑乐,硕士;朱菲菲,工程师。
  • 基金资助:
    国家自然科学基金资助项目“基于动态观测器的无线传感网链路质量估计系统研究”(61401426)。

Unmanned Aerial Vehicle Communication Network System Based on Cognitive Network

MA Yunfei  1,YUAN Le  2,ZHU Feifei  1   

  1. (1.The 27th Research Institute of China Electronics Technology Group Corporation,Zhengzhou 450047,China; 2.University of Chinese Academy of Sciences,Beijing 100049,China)
  • Received:2015-07-07 Online:2016-07-15 Published:2016-07-15

摘要: 针对无人机群组网通信系统受人为影响较大、自主性较差的问题,提出一种基于认知网络的无人机通信网络架构设计方案。借鉴脊椎动物神经系统和人类社会组织模式,设计基于认知网络的无人机群组网通信系统的功能架构和组织架构。给出跨层交互式的无人机通信系统节点级架构,基于观察-确认-决策-行动反馈环建立无人机群的层次化认知网络行为模型,得到具有认知能力的层次化多路由方法。仿真结果表明,在更换路由表项时,该方法能减小吞吐量的抖动,缩短起伏时间,提高系统的可靠性和智能化决策的程度。

关键词: 无人机通信, 认知网络, 网络系统架构, 智能决策, 跨层交互

Abstract: The design and operation of Unmanned Aerial Vehicle(UAV)communication network are greatly influenced by man-made factors and have poor autonomy.To solve this problem,this paper proposes a cognitive network oriented design architecture for UAV system.Imitating from the vertebrates’ nervous system and the human social organization mode,this paper discusses the design of functional and organizational architectures of UAV system based on cognitive network.It designs a cross-layer interactive node-level architecture for UAV communication system,establishes a hierarchical cognitive behavior model based on Observe-Orient-Decide-Act(OODA) loop,and obtains a cognitive layered multi-routing method for UAV systems.Simulation results demonstrate that the proposed method can decrease the variation of system throughput and the fluctuation time.It improves the reliability of the system and the degree of intelligent decision.

Key words: Unmanned Aerial Vehicle(UAV) communication, cognitive network, network system architecture, intelligent decision, cross-layer interaction

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