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.
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.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2010年第11期2630-2634,共5页
Acta Electronica Sinica
关键词
低轨星座
调度算法
决策树
模型
跟踪
low earth orbit constellation
scheduling algorithms
decision tree
models
tracking
