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一种基于信息决策树的低轨星座传感器调度方法
引用本文:程洪玮,王博,安玮. 一种基于信息决策树的低轨星座传感器调度方法[J]. 电子学报, 2010, 38(11): 2630-2634
作者姓名:程洪玮  王博  安玮
作者单位:北京跟踪与通信技术研究所,北京,100094;国防科技大学电子科学与工程学院,湖南长沙,410073;国防科技大学电子科学与工程学院,湖南长沙,410073
摘    要: 针对低轨星座弹道目标连续跟踪传感器调度问题,提出了一种基于信息决策树最优搜索的调度方法.该方法首先将短时信息增量扩展到长时信息增量,然后建立信息决策树,并通过分支剔除搜索技术求解.仿真实验表明,本文所提方法有效克服了短时调度方法调度过于频繁且跟踪精度较低的问题,且决策树分支剔除技术的引入大大降低了长时信息增量最优搜索的运算量.

关 键 词:低轨星座  调度算法  决策树  模型  跟踪
收稿时间:2009-06-10

A Sensor Scheduling Method of LEO Constellation Based on Information Decision Tree
CHENG Hong-wei,WANG Bo,AN Wei. A Sensor Scheduling Method of LEO Constellation Based on Information Decision Tree[J]. Acta Electronica Sinica, 2010, 38(11): 2630-2634
Authors:CHENG Hong-wei  WANG Bo  AN Wei
Affiliation:1. Beijing Institute of Tracking and Telecommunications Technology,Beijing 100094,China;2. College of Electronic Science and Engineering,National University,of Defense Technology,Changsha,Hunan 410073,China
Abstract:To deal with the sensor scheduling in continual object tracking of low earth orbit constellation,a method based on optimal search of information decision tree is proposed.The myopic information increment is extended to non-myopic one.The information decision tree is established and the pruning technology is utilized to search the best branch.The simulation results indicate that the excessive scheduling and lower tracking precision of myopic scheduling have been reduced effectively;The introduction of pruning technology has reduced the computation burden greatly.
Keywords:low earth orbit constellation  scheduling algorithms  decision tree  models  tracking
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