Journal of Systems Engineering and Electronics ›› 2009, Vol. 31 ›› Issue (5): 1043-1046.

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Individual identification of FSK signals based on fine feature analysis of instantaneous frequency

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

  1. 1. School of Information and Communication Engineering, Harbin Engineering Univ., Harbin 150001, China;
    2. No.36 Inst. of China Electronic Technology Corp., Jiaxing 314033, China
  • Received:2008-01-10 Revised:2008-07-07 Online:2009-05-20 Published:2010-01-03

Abstract: Individual communication signals identification is an important issue in the field of communication reconnaissance in recent years.It is also a difficult and complex problem.Aiming at the different transmitters of the same type and working mode,the methods for the fine feature extraction,analysis and recognition are at the preliminary study.A method of fine feature extraction is proposed,and the identification of several transmitters is achieved by the statistic properties of the feature parameters set.Finally,the experiment results show that this method is feasible and practical,and has a high recognition rate.

CLC Number: 

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