Abstract:

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.

Key words: radar target, identification of friend or foe, gray theory, complex scene, association method

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。

关键词: 雷达目标, 敌我识别, 灰色理论, 复杂场景, 关联方法