基于统计学习的卫星接收资源预规划方法  

Satellite Receiving Resource Pre-planning Method Based on Statistical Learning

作　　者：宋世杰[1] 刘晓丽[2] 高朝晖[2] 彭会湘[2] 付伟[2] 孔庆玲[2] SONG Shijie;LIU Xiaoli;GAO Zhaohui;PENG Huixiang;FU Wei;KONG Qingling(Beijing Institute of Tracking and Telecommunication Technologies,Beijing 100094,China;The 54th Research Institute of CETC,Shijiazhuang 050081,China)

机构地区：[1]北京跟踪与通信技术研究所,北京100094 [2]中国电子科技集团公司第五十四研究所,河北石家庄050081

出　　处：《无线电工程》2021年第1期32-37,共6页Radio Engineering

基　　金：国家部委基金资助项目。

摘　　要：针对卫星观测任务需求受理之前的数据接收资源预分配问题,设计了基于统计学习的卫星数据接收资源预规划方法,通过统计分析历史资源使用计划,自学习获取资源使用概率模型,基于资源使用概率模型进行接收资源预分配。实现了无任务情况下的顶层资源统筹预分配,解决了多星接收资源冲突消解与多星解耦问题,是底层单星分布式任务规划的基础,提升了各卫星任务规划的相对独立性,提高了系统任务规划效率。In order to solve the problem of pre-allocation of data receiving resources before the satellite observation mission requests are accepted,a pre-planning method of satellite data receiving resources based on statistical learning is designed.Through statistical analysis of historical resource usage plans,the self-learning obtains the resource usage probability model,and pre-allocates the receiving resources based on the model.This receiving resource frequency planning method realizes the overall pre-allocation of top-level resources without tasks,solves the problems of conflict resolution and multi-satellite decoupling of multi-satellite receiving resources,which is the foundation of underlying single-satellite distributed mission planning.It improves the relative independence of satellite mission planning and the efficiency of system mission planning.

关 键 词：接收资源规划 资源调度 统计学习 资源使用概率 卫星任务规划 

分 类 号：V556[航空宇航科学与技术—人机与环境工程]