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Journal of Computer Systems, Networks, and CommunicationsVolume 2008 2008, Article ID 175236, 8 pages

Research ArticleCentre for Advanced Research, Department of Electronics and Communication Engineering, Muthayammal Engineering College, Rasipuram 637 408, Tamilnadu, India

Received 7 November 2007; Revised 21 January 2008; Accepted 6 April 2008

Academic Editor: Peng Liu

Copyright © 2008 P. Prakasam and M. Madheswaran. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


A generalized modulation identification scheme is developed and presented. With the help of this scheme, the automatic modulation classification and recognition of wireless communication signals with a priori unknown parameters are possible effectively. The special features of the procedure are the possibility to adapt it dynamically to nearly all modulation types, and the capability to identify. The developed scheme based on wavelet transform and statistical parameters has been used to identify M-ary PSK, M-ary QAM, GMSK, and M-ary FSK modulations. The simulated results show that the correct modulation identification is possible to a lower bound of 5 dB. The identification percentage has been analyzed based on the confusion matrix. When SNR is above 5 dB, the probability of detection of the proposed system is more than 0.968. The performance of the proposed scheme has been compared with existing methods and found it will identify all digital modulation schemes with low SNR.

Autor: P. Prakasam and M. Madheswaran



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