复杂态势下敌我识别关联处理流程

Correlation Processing for Identification Friend or Foe in Complex Situation

在密集目标的复杂态势条件下,雷达与敌我识别对多个目标关联配准准确度会显著下降,进而造成错误判断。本文通过对雷达目标与敌我识别目标的定位误差进行分析和建模,改进目标关联处理流程及算法,并在此基础上提出基于序列检测的敌我识别属性融合方法,改善了复杂态势下的目标敌我属性判决的准确度。

Under dense complex radar target scenario situation,traditional processing for radar identification friend or foe degrades veracity for multiple targets＇ relevancy,result in error decisions. This article analyses and models target measurement error for both identify system and radar,modifies the target relevance processing and proposes an sequential detection theory based target attribute fusion method. The method improves target identify accuracy in complex radar target scenario situation.