Automatic modulation classification algorithm using higher-order cumulants under real-world channel conditions

• Published in: IEEE communications letters Vol. 13; no. 12; pp. 917 - 919
• Main Authors: Orlic, V.D., Dukic, M.L.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01-12-2009; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Additive white noise; Algorithms; Analytical models; Applied sciences; Automatic modulation classification; AWGN; Binary phase shift keying; channel modeling; Channels; Classification; Classification algorithms; Cognitive radio; Computer simulation; cumulants; Detection, estimation, filtering, equalization, prediction; Exact sciences and technology; Fading; Gaussian noise; Information, signal and communications theory; Modulation; Modulation, demodulation; multipath channel; Multipath channels; Random variables; Signal and communications theory; Signal representation. Spectral analysis; Signal, noise; Systems, networks and services of telecommunications; Telecommunications; Telecommunications and information theory; Transmission and modulation (techniques and equipments); Fading channels; Automatic classification; Parameter estimation; channel modeling; Binary phase shift keying; Algorithm; Signal classification; Multipath channels; Complex variable method; cumulants; multipath channel; Accuracy; Simulation; Channel estimation; Automatic modulation classification; A priori estimation; Cumulant
• ISSN: 1089-7798; 1558-2558
• DOI: 10.1109/LCOMM.2009.12.091711

An automatic modulation classification algorithm for application in communications via multipath fading channels, without a priori information on channel characteristics, based on normalized sixth-order cumulants is described. In comparison with existing approaches, proposed algorithm can achieve much better classification accuracy in distinguishing BPSK from complex-valued modulation techniques. Theoretical analysis is verified via extensive simulations, under real-world channel propagation conditions.