基于邻域粗糙集和D-S证据理论的雷达辐射源识别  

Radar Emitter Recognition Based on Neighbourhood Rough Set and D-S Evidence Theory

作　　者：刘争 祝利 解梦奇 LIU Zheng;ZHU Li;XIE Meng-qi(National University of Defense Technology,Hefei 230037,China)

机构地区：[1]国防科技大学,安徽合肥230037

出　　处：《舰船电子对抗》2020年第2期43-49,共7页Shipboard Electronic Countermeasure

摘　　要：为解决复杂环境下雷达辐射源识别准确率低的问题,考虑辐射源信号特征对识别贡献率的差异,应用邻域粗糙集方法挖掘历史识别数据得到特征权重,同时结合灰关联分析获得辐射源类型测度,将测度转化为证据表示基础上,通过D-S证据组合获得辐射源识别结果。实验仿真以模拟侦察环境为背景,验证本文方法应用于雷达辐射源识别的合理性和优越性。To solve the problem of low identification accuracy of radar emitter in complex environment,this paper considers the difference of the contribution rate of emitter signal feature to the identification,then uses the neighborhood rough set method to mine the historical identification data to obtain the feature weight,and combines the gray correlation analysis to obtain the emitter type measure,converts the measure into evidence,gains the emitter identification result through DS evidence combination.The experimental simulation is based on the simulation reconnaissance environment to prove the rationality and superiority of the proposed method in this paper applied to radar emitter identification.

关 键 词：辐射源识别 邻域粗糙集 证据理论 

分 类 号：TN971[电子电信—信号与信息处理]