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Automatic Digital Modulation Recognition ADMR is becoming an interesting problem with various civil and military applications. In this paper, an ADMR algorithm in Multi-Carrier Code Division Multiple Access MC-CDMA systems using Discrete Transforms DTs and Mel-Frequency Cepstral Coefficients MFCCs is proposed. This algorithm uses various DT techniques such as the Discrete Wavelet Transform DWT, Discrete Cosine Transform DCT and Discrete Sine Transform DST with MFCCs to extract features from the modulated signal and a Support Vector Machine SVM to classify the modulation orders. The proposed algorithm avoids over fitting and local optimal problems that appear in Artificial Neural Networks ANNs. Simulation results shows the classifier is capable of recognizing the modulation scheme with high accuracy up to 90% - 100% using DWT, DCT and DST for some modulation schemes over a wide Signal-to-Noise Ratio SNR range in the presence of Additive White Gaussian Noise AWGN and Rayleigh fading channel, particularly at a low Signal-to-Noise ratios SNRs.

KEYWORDS

ADMR; MC-CDMA; MFCC; DT; SVM; ANN

Cite this paper

M. Keshk, E. Elrabie, F. El-Samie and M. El-Naby -Blind Modulation Recognition in Wireless MC-CDMA Systems Using a Support Vector Machine Classifier,- Wireless Engineering and Technology, Vol. 4 No. 3, 2013, pp. 145-153. doi: 10.4236-wet.2013.43022.





Autor: Mohamed El-Hady Magdy Keshk Keshk, El-Sayed Elrabie, Fathi El-Sayed Abd El-Samie, Mohammed Abd El-Naby

Fuente: http://www.scirp.org/



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