Automatic digital modulation identification in dispersive channels

Authors:
Ataollah Ebrahimzadeh;Seyed Alireza Seyedin
Affiliations:
Department of Electrical and Computer Engineering, Ferdowsi University of Mashad, Noushirvani Institute of Technology, Iran;Department of Electrical and Computer Engineering, Ferdowsi University of Mashad, Iran
Venue:
TELE-INFO'06 Proceedings of the 5th WSEAS international conference on Telecommunications and informatics
Year:
2006

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Abstract

Automatic modulation type identification (AMTI) has seen increasing demand for both military and civilian, nowadays. Most of previous methods have been proposed on classification of modulations in additive white Gaussian noise (AWGN) channels. However in real world scenarios, communication channels suffer from dispersion (fading). This paper proposes a novel automatic digital modulation types identifier (ADMTI) in dispersive environment. In the ADMTI's structure, undesired effects of channel are mitigated by an equalizer. Higher order cumulants and moments (up to eighth) are used as features and classification is performed by a multiclass SVM-based classifier. Simulation results show that ADMTI is able to identify different types of modulations (e.g. QAM64, V.29, and ASK8) with high accuracy even at low SNRs.