Genetic algorithms + data structures = evolution programs (2nd, extended ed.)
Genetic algorithms + data structures = evolution programs (2nd, extended ed.)
Digital modulation classification using constellation shape
Signal Processing
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Neural Networks: A Comprehensive Foundation (3rd Edition)
Neural Networks: A Comprehensive Foundation (3rd Edition)
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Automatic modulation type identification is needed in many applications. Most of modulation type identification methods can only recognize a few kinds of signals. They usually require high levels of signal to noise ratio (SNR). This paper proposes an intelligent digital modulation type identifier. This identifier uses a multilayer perceptron neural network with resilient back propagation learning algorithm as the classifier and higher order moments and cumulants (up to eighth) as the features. Genetic algorithm is utilized to finding the numbers of hidden layer nodes and selection of input features. Experiment results show that proposed identifier is able to discriminate the different kinds of digital modulation with high accuracy even at very low SNR values.