簇飞行航天器网络动态连接和路径时空演进特性

簇飞行航天器模块的高速飞行增加了网络拓扑的不确定性.为优化簇飞行航天器的轨道设计，提升簇飞行航天器网络性能，在簇飞行航天器节点动态连接的基础上，开展基于概率连接矩阵的簇飞行航天器网络动态连接和路径时空演进特性研究.基于航天器双星伴飞模式，建立了簇飞行航天器节点移动模型，运用经验统计和曲线拟合的分析方法，得到簇飞行航天器网络节点间的距离密度函数；利用簇飞行航天器网络节点间相对距离有界的约束，给出节点连接距离的阈值范围；利用STK生成的轨道数据，通过给出序贯路径定义和一种新的矩阵乘法运算，得到节点多跳序贯路径的概率连接矩阵，分析轨道超周期内节点动态连接和路径时空演进特性，为簇飞行航天器网络的设计和优化提供理论参考. 

Characteristics of Dynamic Connection and Path Spatial-temporal Evolution in Cluster Flight Spacecraft Network

The high-speed flight of cluster flight spacecraft modules increases the uncertainty of network topology. In order to optimize the orbital design of the cluster flight spacecraft and improve the performance of Cluster Flight Spacecraft Network (CFSN), the characteristics of dynamic connection and path spatial-temporal evolution was studied by the probabilistic connectivity matrix in CFSN based on the dynamic connection of nodes. First, the mobility model of nodes was established based on twin-satellites mode. And the solution of the nodal distance density function was obtained by adopting empirical statistical method and curve fitting method in the CFSN. Then, the threshold range of nodal connection distance were derived under the constraints of CFSN, and the probabilistic connectivity matrix and spatial-temporal evolution graphs of any time slot in the orbital hyper-period under different threshold were obtained. Finally, using the orbital data generated by STK, the probabilistic connectivity matrix of sequential path of multiple hops between nodes was obtained through the definition of sequential path and a new matrix multiplication. And the characteristics of dynamic connection and path spatial-temporal evolution in an orbital hyper-period were studied. These results can provide theoretical reference for the design and optimization of CFSN.