A NEW DIGITAL MODULATION RECOGNITION METHOD USING FEATURES EXTRACTED FROM GAR MODEL PARAMETERS

Lu Mingquan; Xiao Xianci; Li Lemin

Volume 21 Issue 2

Mar. 1999

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Article Navigation > Journal of Electronics & Information Technology > 1999 > 21(2): 145-151

Lu Mingquan, Xiao Xianci, Li Lemin. A NEW DIGITAL MODULATION RECOGNITION METHOD USING FEATURES EXTRACTED FROM GAR MODEL PARAMETERS[J]. Journal of Electronics & Information Technology, 1999, 21(2): 145-151.

Citation:

Lu Mingquan, Xiao Xianci, Li Lemin. A NEW DIGITAL MODULATION RECOGNITION METHOD USING FEATURES EXTRACTED FROM GAR MODEL PARAMETERS[J]. Journal of Electronics & Information Technology, 1999, 21(2): 145-151.

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A NEW DIGITAL MODULATION RECOGNITION METHOD USING FEATURES EXTRACTED FROM GAR MODEL PARAMETERS

Received Date: 1997-09-11
Rev Recd Date: 1998-06-08
Publish Date: 1999-03-19

Abstract

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.

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References

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