Recognition of digital modulations based on mathematical classifier

Authors:
A. Kubankova;J. Prinosil;D. Kubanek
Affiliations:
Department of Telecommunications, Faculty of Electrical Engineering and Communication, Brno University of Technology, Czech Republic;Department of Telecommunications, Faculty of Electrical Engineering and Communication, Brno University of Technology, Czech Republic;Department of Telecommunications, Faculty of Electrical Engineering and Communication, Brno University of Technology, Czech Republic
Venue:
ECS'10/ECCTD'10/ECCOM'10/ECCS'10 Proceedings of the European conference of systems, and European conference of circuits technology and devices, and European conference of communications, and European conference on Computer science
Year:
2010

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Abstract

The paper describes a method for the classification of digital modulations. The method uses features computed from parameters of recognized signal such as instantaneous amplitude, instantaneous phase, and spectrum symmetry. The GentleBoost algorithm was used to analyze the features and classify the modulations. ASK, FSK, MSK, BPSK, QPSK, and QAM-16 were chosen for the classification as the best-known digital modulations used in modern communication technologies. The effectivity of the method designed was tested using signals corrupted by white Gaussian noise.