Digital Modulation Identification Model Using Wavelet Transform and Statistical Parameters. (22nd April 2008)

• Record Type: Journal Article
• Authors: Prakasam Prakasam, P. P.; Madheswaran Madheswaran, M. M.
• Other Names: Liu Liu Peng Peng Academic Editor.
• Is Part Of: Journal of computer systems, networks, and communications. Volume 2008(2008)
• Publication Date: 2008-04-22
• Subjects: Computer systems -- Periodicals; Computer networks -- Periodicals; Computer networks; Computer systems; Periodicals; Electronic journals; 004.605
• DOI: 10.1155/2008/175236
• Languages: English
• ISSNs: 1687-7381

Abstract

Abstract : 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.