Title :
Modulation classification of QAM and PSK from their constellation using Genetic Algorithm and hierarchical clustering
Author :
Ahmadi, Negar ; Berangi, Reza
Author_Institution :
Dept. of Comput. Eng., Iran Univ. of Sci. & Technol., Tehran
Abstract :
Most of the approaches for recognition and classification of modulation have been founded on modulated signal´s components. However, one of the best methods of modulation classification is the use of the constellation diagram of the received signal. In this paper, modulation classification for PSK and QAM is performed by genetic algorithm followed by hierarchical clustering algorithm, considering the constellation of the received signal. In addition this classification finds the decision boundary of the signal which is a critical information for bit detection. The simulation shows high capability of this method for recognition of modulation levels in the presence of the noise.
Keywords :
genetic algorithms; phase shift keying; quadrature amplitude modulation; PSK; QAM; constellation diagram; genetic algorithm; hierarchical clustering algorithm; modulation classification; Biological cells; Clustering algorithms; Constellation diagram; Genetic algorithms; Genetic engineering; Noise level; Pattern recognition; Phase shift keying; Quadrature amplitude modulation; Signal processing; Automatic Modulation Recognition; Constellation diagram; Genetic Algorithm; hierarchical clustering;
Conference_Titel :
Information and Communication Technologies: From Theory to Applications, 2008. ICTTA 2008. 3rd International Conference on
Conference_Location :
Damascus
Print_ISBN :
978-1-4244-1751-3
Electronic_ISBN :
978-1-4244-1752-0
DOI :
10.1109/ICTTA.2008.4530242
