J4 ›› 2010, Vol. 37 ›› Issue (6): 1132-1136.doi: 10.3969/j.issn.1001-2400.2010.06.027

• Original Articles • Previous Articles     Next Articles

Digital modulated signal recognition based on intrisic time-scale decomposition parameters

LI Xue1,2;TIAN Bin1,2;ZHAN Yi1;SUN Yong-jun2   

  1. (1. National Lab. of Info. Control Tech. for Communication System, No. 36 Research Inst. of CETC, Jiaxing  314033, China;
    2. State Key Lab. of Integrated Service Networks, Xidian Univ., Xi'an  710071, China)
  • Received:2009-11-25 Online:2010-12-20 Published:2011-01-22
  • Contact: LI Xue E-mail:xuexueli1027@163.com

Abstract:

A digital modulation recognition algorithm using intrinsic time-scale decomposition and the parameters separability for feature extraction and selection is proposed. Simulation results show that the average recognition rate is higher than 94% using only three feature parameters when the SNR is above 5dB. This algorithm is not sensitive to the carrier frequency offset and symbol synchronization with low complexity and real-time realization, and it is suitable for the signal reconnaissance system and interference reconstruction concellation system.

Key words: modulation classification, intrinsic time-scale decomposition, feature selection


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