基于云模型和改进灰关联算法雷达辐射源识别  

The Cloud Model and the Improved Grey Relational Algorithm Applied in Radar Emitter Recognition

作　　者：吴振强[1] 常硕[1] 张国毅[1] 

机构地区：[1]空军航空大学,长春130022

出　　处：《电子信息对抗技术》2015年第4期21-24,41,共5页Electronic Information Warfare Technology

摘　　要：针对由辐射源特征参数的不确定性所带来的区间型特征参数辐射源识别问题,提出了一种基于云模型的改进灰关联算法,该算法利用云模型和动态加权算法,有效地解决了特征参数区间交叠的雷达辐射源识别问题。仿真实验表明,该方法是可行的。In view of the interval type characteristic parameters radiating source recognition prob-lem brought about by the uncertainty of the radiation source characteristic parameters, a kind of improved grey relational algorithm based on cloud model is proposed. The cloud model and dy-namic weighting algorithm are adopted by this method which effectively solves the characteristic parameter range overlapping problem of radar radiating source recognition. Simulation results show that the method is feasible.

关 键 词：云模型 灰关联分析 区间偏差度 动态加权算法 雷达辐射源识别 

分 类 号：TN971.1[电子电信—信号与信息处理]