Modulation classification of QAM and PSK from their constellation using Genetic Algorithm and hierarchical clustering

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.