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Modulation classification using genetic algorithm and radial basis neural network based on the HOS

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2 Author(s)
Ataollah Ebrahimzadeh ; Faculty of Electrical and Computer Engineering, Babol University of Technology, Iran ; Reza Ghazalian

This paper presents a hybrid intelligent system that automatically recognizes a variety of digital communication signals. The hybrid system includes three main modules: feature extraction module, classifier module and optimization module. In this feature extraction module, a suitable set of the higher order moments up to eighth and higher order cumulants up to eighth are proposed as the prominent characteristic of signals. In the optimization module it is optimized the recognizer design by genetic algorithm for selection the best features that are fed to the classifier. Simulation results show that the proposed technique has very high recognition accuracy with six features selected by optimizer.

Published in:

Digital Content, Multimedia Technology and its Applications (IDC), 2010 6th International Conference on

Date of Conference:

16-18 Aug. 2010