Abstract: A new digital modulation recognition method is proposed which is based on the features extracted from generalized autoregressive (GAR) model parameters and the use of neural network classifier. Because of the better noise suppression capacity of the GAR model and the powerful pattern classification capacity of the neural network classifier, the new method can significantly improve the recognition performance in lower SNR. Computer simulations also show that the new method possesses higher recognition ratio and better robustness.