基于粗糙集和灰关联理论的雷达辐射源信号识别研究  

Study on Radar Emitter Signal Recognition Based on Rough Sets and Grey Association Theory

作　　者：张政超[1,2] 关欣[2,3] 何友[2] 李应升[1] 郭伟锋[1] 

机构地区：[1]中国人民解放军63891部队 [2]海军航空工程学院信息融合技术研究所 [3]国防科学技术大学电子科学与工程学院

出　　处：《计算机与现代化》2010年第4期1-5,共5页Computer and Modernization

基　　金：国家自然科学基金资助项目(60572161);国家自然科学基金资助项目(60672140);全国优秀博士论文作者专项资金资助项目(200443);教育部新世纪优秀人才支持计划(NCET-05-0912)

摘　　要：雷达辐射源信号通过射频、脉冲重复周期、脉宽、天线转速等属性来描述。然而这些属性并不是在每个雷达数据库中都对识别起作用,通过粗糙集理论对其属性进行约简和规则提取,并且确定各属性的权重。对于没有受污染或受污染程度较小的信号可以通过约简规则进行匹配识别,如果受污染程度较为严重或失真的信号或是由粗糙集约简得到多义的规则,则可以计算目标信号各属性与数据库中各信号各属性的灰关联度,并用粗糙集计算得到的各属性权重对各属性得到的关联系数进行加权求和,得到关联度最大者为识别结果。仿真结果表明,基于粗糙集和灰关联理论的雷达辐射源信号识别方法能够有效地缩减识别过程,得到满意的识别结果。Radar emitter signal is described by radio frequency,pulse repeated frequency and pulse wide.Whereas it is not every attribute is in efficiency,the attributes in decision table can be reduced and rules can be extracted by Rough Sets,weight coefficient of attribute can be determined too.The pure signal and approximately pure signal can be recognized by rules extracted from decision table,the impure signal or distortional or multivocal signal can be recognized by calculating the grey association degree from the unknown signal and signals in radar emitter signal database.The weight coefficient of attribute determined by Rough Sets and grey association coefficient are determined the grey association degree,the signal of maximal grey degree is the recognition result.The simulation results show the recognition method based on Rough Sets and grey association theory is efficient in shortening recognition course.

关 键 词：雷达辐射源 信号识别 粗糙集 灰关联 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TN953[自动化与计算机技术—控制科学与工程]