雷达多目标跟踪波束资源调度算法  

A Radar Beam Resource Scheduling Algorithm for Multi-target Tracking

作　　者：王莹莹 张贞凯[1] WANG Yingying;ZHANG Zhenkai(Jiangsu University of Science and Technology,Zhenjiang 212000,China)

机构地区：[1]江苏科技大学,江苏镇江212000

出　　处：《电光与控制》2020年第11期17-21,58,共6页Electronics Optics & Control

基　　金：国家自然科学基金(61871203);2020年江苏省研究生实践创新计划(SJCX20_1465)。

摘　　要：在雷达作战系统中,波束资源的合理调度一直是一个关键问题。本文将协方差算法与灰色关联决策算法相结合实现雷达系统的波束资源分配,在满足各目标跟踪精度的基础上,最大化波束资源的利用率。对于被跟踪的多个目标,由灰色关联度决策算法计算其威胁度,根据目标威胁度设置期望协方差,计算各个目标期望协方差与实际协方差之间的差异度并由大到小进行排列,选择最大差异度的目标作为跟踪对象。如果所有目标都达到期望值,则进行新目标探测。仿真结果表明,提出的算法能够较好地进行多目标波束资源的自适应分配。In the combat system of radar,the reasonable scheduling of beam resources has always been a key issue.In this paper,the covariance algorithm and the gray relational algorithm are combined to implement the beam resource allocation of the radar system.It can maximize the utilization of beam resources while satisfying the tracking accuracy of each target.To the multiple targets being tracked,the threat degree of each target is calculated by using gray relational algorithm,and the expected covariance is set according to the target’s threat degree.The difference between the expected covariance and the actual covariance is calculated for each target,and all the differences are ranked from large to small.The target with the biggest difference is taken as the object for tracking.If all the targets reach the desired value,the radar will detect new targets.The proposed algorithm can realize the adaptive allocation of the radar system’s beam resources.

关 键 词：雷达 多目标跟踪 波束资源调度 灰色关联度 自适应分配 协方差 

分 类 号：TN953[电子电信—信号与信息处理]