Selection of optimal features for digital modulation recognition

Authors:
A. Kubankova;H. Atassi;A. Abilov
Affiliations:
Department of Telecommunications, Brno University of Technology, Brno, Czech Republic;Department of Telecommunications, Brno University of Technology, Brno, Czech Republic;Department of Communication Networks and Telecommunication Systems, Izhevsk State Technical University, Izhevsk, Russian Federation
Venue:
ICOSSSE'11 Proceedings of the 10th WSEAS international conference on System science and simulation in engineering
Year:
2011

Citing 4
Cited 0

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Abstract

The paper proposes a new method for the classification of commonly used digital modulations. The method uses previously reported features such as instantaneous amplitude, instantaneous phase and spectrum symmetry beside a set of new features from both spectral and time domain. A classifier based on Gaussian mixture models was used to analyze the features and classify the modulations. ASK, FSK, MSK, BPSK, QPSK, PSK, FSK4 and QAM-16 were chosen for the classification as the best-known digital modulations used in modern communication technologies.