Abstract
In order to greatly overcome the disadvantages of low convergence rate, large mean square error and the local convergence of Wavelet Transform Constant Modulus blind equalization Algorithm(WTCMA), support vector machine wavelet transform constant modulus blind equalization algorithm based on improved genetic algorithm is proposed. This proposed algorithm can make full use of the global optimization ability of genetic algorithm to choose better parameters of Support Vector Machine(SVM) and uses SVM to initialize weight vector via a short initial data segment. When the weight vector of the equalizer is initialized by SVM, the proposed algorithm will carry out the WTCMA. The simulation result with underwater acoustic channel shows that the proposed algorithm outperforms the CMA and WTCMA in the convergent rate and mean square error.
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References
Guo, Y.: Communication signal analysis and processing. Press of Hefei University of Technology (2009) (in Chinese)
Cooklev, T.: An Efficient Architecture for Orthogonal Wavelet Transforms. IEEE Signal Processing Letters 13(2), 77–79 (2006)
Han, Y.: Wavelet Transform Based Blind Equalization Design and Algorithm Simulation. Anhui University of Science and Technology (2007) (in Chinese)
Deng, N., Tian, Y.: Support Vector Machine: Theory, Algorithm and Development. Science Press, Beijing (2009)
Chen, L., Chen, J.: An Improved P-SVM Method Used to Deal with Imbalanced Data Sets. In: IEEE International Conference on Intelligent Computing and Intelligent Systems, pp. 118–122. IEEE Press, New York (2009) (in Chinese)
Li, J., Zhao, J., Lu, J.: Simulation of Constant Modulus Blind Equalization Algorithm Initialized by Support Vector Machines. Computer Simulation 25(1), 84–87 (2008) (in Chinese)
Li, M., Kou, J., Lin, D.: The Basic Theory of Genetic Algorithm and Its Application. Science Press, Beijing (2002)
Kim, H.S., Cho, S.B.: Application of Interactive Genetic Algorithm to Fashion Design. Engineering Application of Artificial Intelligence 13(6), 635–644 (2000)
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Guo, Y., Li, B., Fan, K. (2012). Support Vector Machine Wavelet Blind Equalization Algorithm Based on Improved Genetic Algorithm. In: Jin, D., Lin, S. (eds) Advances in Electronic Commerce, Web Application and Communication. Advances in Intelligent and Soft Computing, vol 149. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28658-2_24
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DOI: https://doi.org/10.1007/978-3-642-28658-2_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28657-5
Online ISBN: 978-3-642-28658-2
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