一种应用DS证据理论的雷达目标与IFF点迹关联方法

针对目标数量多、目标构成复杂环境下雷达目标与敌我识别(Identification Friend or Foe, IFF)点迹关联不准确的问题，提出了一种基于DS(Dempster-Shafer)证据理论的关联方法。基于区间灰数模型完成雷达目标与IFF点迹的灰关联度计算，并据此生成DS证据理论中辨识框架的基本概率赋值；利用Dempster规则对证据进行组合，当证据之间存在冲突时采用改进Murphy方法对数据进行处理；最终通过概率转换方法完成关联判决，形成对目标敌我属性的判定。典型场景下的仿真结果表明，该方法能够实现雷达目标与IFF点迹的有效关联，通过多次询问及关联过程，可提升不同场景下的关联正确率。

Radar target and IFF plot association based on DS evidence theory

For the problem of inaccurate association between radar target and identification friend or foe(IFF) plot in complex environment with a large number of targets,an association method based on Dempster-Shafer(DS) evidence theory is proposed.The gray correlation degree between radar target and IFF plot can be calculated based on the interval gray number model,and used to generate the basic probability assignment of identification framework in DS evidence theory.Dempster''s rules are used to combine the evidence,and the improved Murphy method is used to process the data when there is a conflict between the evidence.Finally,the probability transformation method is used to complete the correlation judgment and form the judgment result of the target attributes.Simulation results in typical scenarios show that,the proposed method can realize the effective association between radar target and IFF plot.Through multiple interrogations and the association,the association accuracy can be improved in different scenarios.