J4 ›› 2009, Vol. 36 ›› Issue (4): 736-740.

• 研究论文 • 上一篇    下一篇



  1. (1. 哈尔滨工程大学 信息与通信工程学院,黑龙江 哈尔滨  150001;
    2. 通信系统信息控制技术国家级重点实验室,浙江 嘉兴  314033)
  • 收稿日期:2008-11-13 出版日期:2009-08-20 发布日期:2009-09-28
  • 通讯作者: 陆满君
  • 基金资助:


Extraction of the transient characteristics of the communication radiating source and individual indentification

LU Man-jun1,2;ZHAN Yi2;SI Xi-cai1;YANG Xiao-niu2   

  1. (1. School of Info. and Comm. Eng., Harbin Eng. Univ. , Harbin  150001, China;
    2. National Lab. of Info. Control Tech.  for Comm. System, Jiaxing  314033, China)
  • Received:2008-11-13 Online:2009-08-20 Published:2009-09-28
  • Contact: LU Man-jun



关键词: 辐射源识别, 细微特征, 特征选择, 小波变换, 遗传算法


Individual communication signals identification is an important issue in the field of communication reconnaissance in recent years. The recurrence plot method is proposed to detect the start-up point of the transient signals, which is based on the nonlinear characteristics of the transient signal. Wavelet transform is used to extract features from the transmitters. The most discriminatory features are selected from a large number of wavelet transform features by genetic algorithms, and Support Vector Machines (SVM) are used to realize the individual identification. Experimental results show that the introduced method achieves good accuracy recognition rate in terms of a little features as reference, with the accuracy recognition being more than 90%.

Key words: transmitter identification, fine feature, feature selection, wavelet transforms, genetic algorithms


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