Modulation Classification Using ARBF Networks

摘要

A simple and robust method based on statistical pattern recognition theory to approach modulation type classification is proposed. The features being used for classifying digital signaling formats are the forth-order and sixth-order cumulants of the received signal. An adaptive radial-basis function networks (ARBF) which tandem combine a single-layer RBF and a single-layer linear-basis function (LBF) networks is constructed as the classifier. Examples of classifying, four modulation types—4ASK, 2ASK/2PSK, 4PSK and 16QAM—are given. The result of computer simulation has proved this method can process well in a wide range of SNR and has a preferable generalization.