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Automatic Modulation Classification of Digital Modulations Signals Based on Gaussian Mixture Model

Authors:
Woo-Hyun Ahn
Jong-Won Choi
Chan-Sik Park
Bo-Seok Seo
Min-Joon Lee

Keywords: automatic modulation classification; Gaussian mixture model; cyclostationary; higher order cyclic cumulants

Abstract:
In this paper, we propose an automatic modulation classification scheme for digitally modulated signals, such as MSK, GMSK, BPSK, QPSK, 8-PSK, 16-QAM, 32-QAM, and 64-QAM. As features which characterize the modulation type, higher order cyclic cumulants up to eighth order of the signal are used. For feature classification, a Gaussian mixture model based algorithm is used. Simulation results are demonstrated to evaluate the performance of the proposed scheme under AWGN channels.

Pages: 275 to 280

Copyright: Copyright (c) IARIA, 2014

Publication date: August 24, 2014

Published in: conference

ISSN: 2308-4278

ISBN: 978-1-61208-353-7

Location: Rome, Italy

Dates: from August 24, 2014 to August 28, 2014