一种基于先验信息的中高轨卫星遥测任务资源调度方法

中高轨卫星测控需求的特性导致遥测数据接收任务占用了绝大部分设备跟踪时长，但遥测任务的资源调度问题的相比遥控和测轨复杂性更高，使得其资源调度算法的自动化水平一直不高。根据中高轨卫星遥测数据接收任务需求和我国测控站布站情况，设计了一种基于先验信息的中高轨卫星遥测任务资源调度算法。该算法以中高轨卫星遥测任务需求整体满足率最大和算法复杂度最低为设计目标，以人工安排中高轨遥测任务测控工作计划积累的有益经验作为先验信息，赋予中高轨卫星遥测任务可行解优先级使用值。通过实际数据仿真分析，该算法极大缩小了中高轨卫星遥测任务可行解空间规模，有效提高了资源调度效率，资源满足率达到99.7%以上，遥测单收设备使用率超过97.7%,为卫星资源调度算法设计提供了参考。

A Prior Information Based Telemetry Tasks Scheduling Method for HEO Satellites

Because of the characteristics of Highly Elliptical Orbit(HEO) satellites TT&C requirement,the telemetry data receiving task resource scheduling is more complex than track and command tasks.Especially,telemetry data receiving tasks take up to most tracking time of TT&C equipment.So the automation level of resource scheduling methods is low.According to the needs of TT&C equipment of HEO satellites telemetry receiving tasks and the deployment of TT&C station of China,an algorithm is designed based on the priori information for HEO satellites telemetry receiving tasks resource scheduling.Aiming at the highest overall satisfaction rate and the lowest algorithm complexity,with the priori information from the manually scheduling the HEO telemetry tasks plans,the algorithm gives priority level value to every feasible solution.Through the simulation analysis of actual data,the algorithm greatly reduces the feasible solution space scale of HEO satellites telemetry tasks,and effectively improves the efficiency of resource scheduling.The resource satisfaction rate is over 99.7%,and the equipment utilization rate exceeds 97.7%,which provides a reference for the design of satellite resource scheduling algorithms.