红外与毫米波学报, 2019, 38 (6): 706, 网络出版: 2019-12-27  

快速响应激光卫星通信网络的鲁棒动态拓扑控制

Robust dynamic topology control for ORS satellite laser communication networks
王龙 1,2,3尹增山 1,3,*孔鑫玮 1,3石神 1
作者单位
1 Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences,Shanghai 200050, China
2 University of Chinese Academy of Sciences, Beijing 100049, China
3 Innovation Academy for Microsatellite of Chinese Academy of Sciences. Shanghai 201210, China
摘要
星间激光通信具有传输速率高、传输距离远、抗干扰能力强的优点,已成为卫星组网的重要趋势.星间激光网络存在高移动、点对点、波束窄等特点,已有的自由空间网络(FSO)拓扑控制策略应用于星间激光通信,存在计算复杂度高、网络延迟大的不足,无法满足星间激光组网需求.文中提出了一种基于代数连通度的星间激光组网动态拓扑控制方案,通过分布式构建卫星网络连通图与网络增强方法,实现网络动态重构,并通过基于矩阵摄动理论的相关方法,降低了网络动态重构计算复杂度.该方案具有分布式、自组织、近实时的优点,可满足空间激光通信网络的动态拓扑控制需求,提高卫星快速响应能力.
Abstract
Inter-satellite laser links have the advantages of high data rate, long transmission distance and low probability of detection/intercept. It has become an important trend in satellite technology. The inter-satellite point-to-point laser links are high mobility, and have narrow beam width, which bring challenges to the PAT processes. Due to their high computational complexity and large delay, the existing free space networks (FSO)topology control strategies cannot be directly applied to satellite networks. In this article, an algebraic connectivity based network dynamic topology control scheme is proposed. With distributed construction and enhancement process, the network dynamic reconfiguration is accomplished. A modified edge perturbation method is developed, and proved to have lower computational complexity than existing methods. The scheme is distributed, self-organized and near real-time, it which meets the requirements of dynamic topology control well and will contribute to building operationally responsive space (ORS) satellite networks.

王龙, 尹增山, 孔鑫玮, 石神. 快速响应激光卫星通信网络的鲁棒动态拓扑控制[J]. 红外与毫米波学报, 2019, 38(6): 706. Long WANG, Zeng-Shan YIN, Xin-Wei KONG, Shen SHI. Robust dynamic topology control for ORS satellite laser communication networks[J]. Journal of Infrared and Millimeter Waves, 2019, 38(6): 706.

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