摘要
为提升复杂环境下雷达目标与IFF点迹的关联正确率,提出了一种基于灰色理论的关联方法。在不同场景下,通过计算灰关联度判断多个雷达目标与IFF点迹关联时是否存在竞争,若存在则利用雷达目标与IFF关联的历史信息对灰关联度进行修正,最后基于最大关联度识别原则完成关联判决,形成对目标的敌我属性判定及识别置信度估计。典型场景下的仿真结果表明,通过对目标的多次询问及与雷达目标的关联,可提升不同环境下的关联正确率,提升合作目标属性判定的置信度。
In order to improve the association accuracy between radar target and IFF plot in complex environment,a method based on gray theory is proposed.In different scenarios,it can be judge whether there is competition among multiple radar targets when it is associated with IFF plot by calculating the gray correlation degree.If there is,the historical information of association between radar target and IFF is used to modify the gray correlation degree.Finally,the associated decision is completed based on the recognition of maximum gray correlation degree to form the identification of the target’s friend and foe attributes and the identification confidence estimation.Simulation results in typical scenarios show that,through multiple interrogations and association with the target,it can improve the association accuracy in different environment and the confidence degree of cooperative target attribute determination.
作者
闫善勇
YAN Shanyong(Southwest China Institute of Electronic Technology,Chengdu 610036,China)
出处
《现代防御技术》
北大核心
2023年第4期46-52,共7页
Modern Defence Technology
关键词
雷达目标
敌我识别
灰色理论
复杂场景
关联方法
radar target
identification of friend or foe
gray theory
complex scene
association method