摘要
针对低轨星座目标连续跟踪的传感器资源调度问题,通过对调度约束因素的分析,提取跟踪精度、资源松弛度和资源分配均衡因子三个优化参数,建立了传感器实时调度模型;并建立长时调度决策树,将标准代价搜索方法和分支剔除技术相结合,提出了一种基于分支剔除的实时传感器调度算法。仿真实验表明,标准代价搜索和分支剔除技术的引入明显降低了调度算法的运算量,尤其对于多目标和大步长的情况,且调度传感器跟踪目标的误差略小于短时调度方法。
To deal with the sensor resource scheduling in continual object tracking of low earth orbit（LEO） constellation,a real-time sensor scheduling model is established based on three parameters,i.e.,tracking precision,resource slack,and equilibrium factor,according to an analysis of the sensor scheduling constraint factors.Furthermore,a non-myopic scheduling decision tree is developed,and combining the uniform cost search and pruning technology,a novel real-time sensor scheduling algorithm based on pruning is proposed.The simulation results indicate that the calculation load of the sensor scheduling algorithm is reduced obviously,especially to the cases of multi-target and longer step length,moreover,the tracking error of the proposed method is slightly lower than the myopic one.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2010年第6期1244-1250,共7页
Systems Engineering and Electronics
基金
中国博士后科学基金(20080430223
200801493)
安徽省自然科学基金(090412043)资助课题
关键词
低轨星座
调度算法
分支剔除
模型
跟踪
low earth orbit constellation
scheduling algorithm
pruning
model
tracking
作者简介
王博（1981-），男，博士研究生，主要研究方向为目标定位与跟踪多传感器管理调度、空间信息处理等。E-mail：xshshxyby@163．com
