Modified ART2A-DWNN for automatic digital modulation recognition

被引：0
|
作者：
Wang, Xuexia [1 ]
Wu, Zhilu [1 ]
Zhao, Yaqin [1 ]
Ren, Guanghui [1 ]
机构：
[1] Harbin Inst Technol, Sch Elect & Informat Technol, Harbin 150001, Heilongjiang, Peoples R China
来源：
ADVANCES IN NEURAL NETWORKS - ISNN 2007, PT 2, PROCEEDINGS | 2007年 / 4492卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A modified ART2A-DWNN for automatic digital modulation recognition is proposed in this paper. Daubechies wavelet "db9" is chosen instead of "morlet" wavelet as the mother wavelet in ART2A-DWNN because of its compactness and orthonormality. Simulations have been carried out with the modulated signals corrupted by Gaussian noise to evaluate the performance of the proposed method. Recognition capability, noise immunity and convenience of accommodating new patterns of the modified ART2A-DWNN are simulated and analyzed. The experimental results have indicated the advantages of the modified method. Comparing the performance of the two ART2A-DWNNs, the modified ART2A-DWNN has higher recognition capability than the one with "morlet" wavelet.
引用
收藏
页码：765 / +
页数：3
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