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.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Louis, C., Sehier, P.: Automatic Modulation Recognition with a Hierarchical Neural Network. In: IEEE Military Communications Conference, vol. 3, pp. 713–717 (1994)
Carpenter, G.A., Grossberg, S., Rosen, D.: ART 2-A: An Adaptive Resonance Algorithm for Rapid Category Learning and Recognition. In: IEEE IJCNN-91-Seattle International Joint Conference on Neural Networks, vol. 2, pp. 151–156 (1991)
Thomas, F., Karl-Friedrich, K., Torsten, K.: Comparative Analysis of Fuzzy ART and ART-2A Network Clustering Performance. IEEE Transactions on Neural networks 9, 544–559 (1998)
Huang, Y.C., Huang, C.M.: Evolving Wavelet Networks for Power Transformer Condition Monitoring. IEEE Transactions on Power Delivery 17, 412–416 (2002)
Wu, Z.L., Wang, X.X., Liu, C.Y., Ren, G.H.: Automatic Digital Modulation Recognition Based on ART2A-DWNN. In: Wang, J., Liao, X.-F., Yi, Z. (eds.) ISNN 2005. LNCS, vol. 3497, pp. 381–386. Springer, Heidelberg (2005)
Li, H.L., Xiao, D.M., Chen, Y.Z.: Wavelet ANN Based Transformer Fault Diagnosis Using Gas-in-oil Analysis. In: IEEE Proceedings of the 6th International Conference on Properties and Applications of Dielectric Materials, vol. 1, pp. 147–150 (2000)
Wu, Y.T., Tai, H.M., Reynolds, A.C.: An ART2-BP Neural Net and Its Application to Reservoir Engineering. In: IEEE International Conference on Neural Networks, vol. 5, pp. 3289–3294 (1994)
Azzouz, E.E., Nandy, A.K.: Procedure for Automatic Modulation Recognition of Analog and Digital Modulations. IEEE Proc. Commun. 143, 259–266 (1996)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer Berlin Heidelberg
About this paper
Cite this paper
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
Download citation
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)