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Modified ART2A-DWNN for Automatic Digital Modulation Recognition

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4492))

Abstract

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.

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Derong Liu Shumin Fei Zengguang Hou Huaguang Zhang Changyin Sun

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© 2007 Springer Berlin Heidelberg

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Wang, X., Wu, Z., Zhao, Y., Ren, G. (2007). Modified ART2A-DWNN for Automatic Digital Modulation Recognition. In: Liu, D., Fei, S., Hou, Z., Zhang, H., Sun, C. (eds) Advances in Neural Networks – ISNN 2007. ISNN 2007. Lecture Notes in Computer Science, vol 4492. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72393-6_91

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  • DOI: https://doi.org/10.1007/978-3-540-72393-6_91

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-72392-9

  • Online ISBN: 978-3-540-72393-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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