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.
作者
宋世杰
刘晓丽
高朝晖
彭会湘
付伟
孔庆玲
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)
出处
《无线电工程》
北大核心
2021年第1期32-37,共6页
Radio Engineering
基金
国家部委基金资助项目。
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
receiving resource planning
resource scheduling
statistical learning
resource usage probability
satellite mission planning
