基于模糊集理论的雷达辐射源识别算法  

Radar Emitter Identification Algorithm Based on Fuzzy Set Theory

作　　者：吴璇 侯鑫 黄琦龙 卜卿[1] WU Xuan;HOU Xin;HUANG Qilong;BU Qing(The 28th Research Institute of China Electronics Technology Group Corporation, Nanjing 210007, China;China Electronic Import and Export Corporation, Beijing 100036, China)

机构地区：[1]中国电子科技集团公司第二十八研究所,南京210007 [2]中国电子进出口总公司,北京100036

出　　处：《指挥信息系统与技术》2018年第2期55-59,共5页Command Information System and Technology

摘　　要：辐射源信号识别是当前电子情报(ELINT)信号处理中关键环节。无源雷达能够对探测到的雷达信号进行处理并取得辐射源脉冲信号的特征参数,包括载波频率(RF)、脉冲重复间隔(PRI)和脉冲宽度(PW)等。以无源雷达分选和采样后获得的辐射源特征参数为样本空间,提出了一种基于模糊集理论的雷达辐射源识别算法,根据已知辐射源识别库的识别知识可快速有效地识别各类已知特征的辐射源。仿真试验表明,该算法具有较高的识别可信度。The radar emitter signal identification is the key procedure in the current electronic in telligence （ELINT）. The passive radar can progress the detected radar signals and extract the e mitter pulse signal characteristic parameters, such as the radio frequency （RF）, the pulse repeti tion interval （PRI）, the pulse width （PW）, and other electromagnetic spectrum parameters. Taking the emitter characteristic parameter from the passive radar separation and sampling as the sample space, a radar emitter identification algorithm based on the fuzzy set theory is proposed. By using the algorithm, the emitter of radiation for all known characteristics is quickly and effi ciently identified through the identification knowledge of the known radiation emitter identification database. The simulation experiment shows that the method has high identification reliability.

关 键 词：辐射源识别 模糊集 格贴近度 

分 类 号：TN959.17[电子电信—信号与信息处理]