一种面向低轨遥感星座的路由任务规划算法研究

Research on a routing task planning algorithm for LEO remote sensing constellation

为了解决遥感星座数据传输时效性差的问题,利用星间链组网,提出了一种适应于断续猝发特征星间网络的路由任务规划算法。该算法以遥感卫星成像任务规划结果为驱动,结合卫星网络拓扑结构的时变性特点,改进基于快照序列的拓扑划分方法,降低路由切换频率,减少链路切换代价损失。并将卫星与地面站之间的路由看作低轨遥感星座路由的一部分,在选择星地最短路由路径的同时实现星地建链总时长最大化。仿真结果表明,该算法能够显著提升低轨遥感卫星星座的数据传输能力。

In order to solve the problem of poor timeliness of data transmission in remote sensing constellation,the inter-satellite link network and a routing task planning algorithm suitable for inter-satellite network with intermittent burst characteristics was proposed.Driven by the results of remote sensing satellite imaging task planning,combined with the time-varying characteristics of satellite network topology,the algorithm improved the topology division method based on snapshot sequence to reduce the frequency of route switching and the cost of link switching.The routing between satellite and ground station was regarded as a part of the routing of LEO remote sensing constellation.While selecting the shortest routing path between satellite and the ground,the duration of satellite-ground link was maximized.The simulation results show that the algorithm can significantly improve the data transmission capability of the low-orbit remote sensing satellite constellation.