基于脉内特征的通信辐射源信号识别算法  

Communication Emitter Signal Recognition Algorithm Based on Intra-Pulse Feature

作　　者：张佳芬[1] 史勤刚[1] ZHANG Jiafen;SHI Qingang(School of Chengdu,UEST of China,Chengdu 611731,China)

机构地区：[1]电子科技大学成都学院,成都611731

出　　处：《电子信息对抗技术》2022年第1期55-60,96,共7页Electronic Information Warfare Technology

基　　金：四川省教育厅科研项目(18ZB0252)。

摘　　要：脉内特征提取是通信辐射源调制类型识别的关键问题。通过对几种典型复杂调制信号进行脉内细微特征分析,提出一种可快速识别信号调制类型的算法。通过分析辐射源信号的时频域特征,分别提取信号连续小波变换特征值、信号频域矩峰度系数和信号频域矩偏度系数,可实现信号的快速识别。计算机仿真表明,当SNR高于0 dB时,信号识别概率大于98%,该算法具有一定的工程实用价值。Intra-pulse feature extraction is important for communication transmitter individual i-dentification.Based on intra-pulse minute feature analysis of several typical complex modulated signals,a fast recognition approach is presented for intra-pulse complex-modulated signals.With time frequency image features of emitter signals,four kinds of signals by three characteristic pa-rameters could be recognized in this approach,which are extracted from signal continuous wave-let transform eigenvalue,frequency domain moment kurtosis coefficient and frequency domain moment skewness coefficient.When the SNR is higher than 0 dB,the probability of signal recog-nition is greater than 95%.The simulation experiments show the validity of this approach.

关 键 词：通信辐射源 复杂调制 特征提取 分类识别 

分 类 号：TN971.1[电子电信—信号与信息处理]