摘要
针对传感器交叉提示技术在目标探测中的应用问题展开研究,首先介绍多传感器交叉提示技术基本理论,建立了具有社区性的传感器网络模型和基于多Agent技术的分布式传感器管理结构,分析了传感器交叉提示发生的条件和类型,其次提出了传感器网络效能评价函数,最后设计了基于博弈论的多传感器交叉提示算法。仿真结果表明,提出的多传感器交叉提示模型符合实际作战场景,能够生成传感器联盟方案对目标检测和跟踪,并进行目标交接,与拍卖算法和人工蜂群算法相比,博弈论算法求解质量较高,收敛速度明显提高,更适用于作战态势较紧急的情形。
The use of multi-sensor crossing cueing technology on target detecting is studied. Firstly, the sensor network model with the symbol of community and the distributed sensor management basing on multi-agent technology are built. The conditions and types of multi-sensor crossing cueing are analyzed. Second-ly, the sensor efficiency function is raised. Finally, the multi-sensor crossing cueing algorithm basing on game theory is designed. The simulation result indicates that the model conforms to the reality of battles, and the alli-ance of sensors can be made to find, track and handover targets by this algorithm. Compared with the auction algorithm and the bee colony algorithm, the result of the game algorithm is better, the rate of convergence of the game algorithm is improved,so it is more appropriate to be applied in instant battles.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2017年第8期1684-1690,共7页
Systems Engineering and Electronics
基金
国家自然科学基金(61573374)
青年国家自然科学基金(61503408)
航空科学基金(20150196006)资助课题
关键词
多传感器交叉提示
博弈论
目标检测
目标跟踪
目标交接
multi-sensor cross cueing
the game theory
target detecting
target tracking
target handover
