电讯技术2025，Vol.65Issue(1)：1-8,8.DOI:10.20079/j.issn.1001-893x.240601001
结合多维特征与Transformer网络的敌我识别辐射源个体识别
Specific Emitter Identification of Identification Friend or Foe by Combining Multidimensional Features and Transformer
摘要
Abstract
In order to solve the problem of insufficient research on specific emitter identification of identification friend or foe(SEI-IFF),a method based on multidimensional features and Transformer is proposed.Firstly,multidimensional features from individual pulse and global signal,such as phase,amplitude,time,power spectral density are extracted.Combining Transformer,fine features,such as the correlated characteristics of features in different IFF transmitters are extracted and finally SEI-IFF is achieved.Results show that the proposed method achieves an average recognition accuracy of 95.3%for the individual sources carried by 20 targets.It can effectively achieve SEI-IFF and is helpful for improving the efficiency of SEI-IFF in battlefield.关键词
敌我识别(IFF)/辐射源个体识别(SEI)/多维特征/TransformerKey words
identification of friend or foe(IFF)/specific emitter identification(SEI)/multidimensional features/Transformer分类
信息技术与安全科学引用本文复制引用
陈杰梅..结合多维特征与Transformer网络的敌我识别辐射源个体识别[J].电讯技术,2025,65(1):1-8,8.
