Abstract
Based on the features extracted from generalized autoregressive (GAR) model parameters of the received waveform, and the use of multilayer perceptron(MLP) neural network classifier, a new digital modulation recognition method is proposed in this paper. Because of the better noise suppression ability of the GAR model and the powerful pattern classification capacity of the MLP neural network classifier, the new method can significantly improve the recognition performance in lower SNR with better robustness. To assess the performance of the new method, computer simulations are also performed.
Similar content being viewed by others
References
L. V. Dominguez, T. M. P. Borrallo, J. P. Garcia, B. R. Mezcua, A general approach to the automatic classification of radio communication signals, Signal Processing, 22(1991), 239–250.
A. K. Nandi, E. E. Azzouz, Automatic analogue modulation recognition, Signal Processing, 46(1995), 221–222.
E. E. Azzouz, A. K. Nandi, Automatic identification of digital modulation types, Signal Processing, 47(1995), 55–69.
Lu Mingquan, Xiao Xianci, Li Lemin. Cylic spectral features based modulation recognition, Proc. ICCT’96, Beijing: 1996, 792–795.
H. C. Ho, W. Prokopiw, Y. T. Chan, Modulation identification by the wavelet transform, Proc. MILCOM’95, San Diego, CA: 1995, 886–890.
A. K. Nandi, E. E. Azzouz, Modulation recognition using artificial neural networks, Signal Processing, 56(1997), 165–175.
K. Assalch, K. Farrell, R. J. Mammone, A new method of modulation classification for digital modulation signals, Proc. MILCOM’92, San Diego, CA: 1992, 0712–0716.
J. Tsao, W-J. Shyu, Generalized autoregressive spectral estimation, Proc. ASSP’92, Vol. V, San Francisco, CA: 1992, 449–452.
S. M. Kay, Modern Spectral Estimation: Theory and Application, Englewood Cliffs, NJ: Prentice-Hall, 1987, Chapter 5.
S. Haykin, Neural Networks: A Comprehensive Foundation, New York: MacMillan, 1994, Chapter 6.
Author information
Authors and Affiliations
About this article
Cite this article
Lu, M., Xiao, X. & Li, L. A new digital modulation recognition method using features extracted from GAR model parameters. J. of Electron.(China) 16, 244–250 (1999). https://doi.org/10.1007/s11767-999-0022-6
Issue Date:
DOI: https://doi.org/10.1007/s11767-999-0022-6