基于博弈论的多传感器交叉提示算法

发布时间：2018-05-24 03:41

本文选题：多传感器交叉提示 + 博弈论　；参考：《系统工程与电子技术》2017年08期

【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。
[Abstract]:Based on the research on the application of sensor cross prompt technology in target detection, the basic theory of multi sensor cross prompt technology is introduced. The community sensor network model and the distributed sensor management structure based on multi-Agent technology are established, and the conditions and types of sensor cross-cues are analyzed. Secondly, the effectiveness evaluation function of sensor network is proposed. Finally, a multi-sensor cross-prompt algorithm based on game theory is designed. The simulation results show that the proposed multi-sensor cross-prompt model accords with the actual combat scenario, and can generate sensor alliance scheme to detect and track the target and transfer the target. Compared with the auction algorithm and the artificial bee colony algorithm, the proposed model can be used to detect and track the target. The solution quality of game theory algorithm is higher and the convergence rate is improved obviously. It is more suitable for the urgent situation of combat situation.
【作者单位】：空军工程大学防空反导学院;
【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
【分类号】：O225;TP212

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