Variable Step-Size Wavelet Vector Machine Blind Equalization Algorithm

Abstract:

In order to overcome the contradiction of the CMA with a constant step-size between the convergence rate and the residual mean square error(MSE), on the basis of analyzing the idea of variable step-size, the feature of Support Vector Machine(SVM) and Wavelet Transform, a Variable step-size Wavelet transform Support vector machine Constant Modulus blind equalization Algorithm (VWSCMA) is proposed. In the proposed algorithm, the variable step-size is used to solve the contradiction between the convergence rate and the residual MSE, SVM is employed to optimize the weight vector of equalizer, and wavelet transform is used to reduce the autocorrelation of input signals of equalizer. Simulation results show that the proposed algorithm can effectively overcome the contradiction between the convergence rate and the residual error and has good equalization performance.

• Periodical: Applied Mechanics and Materials (Volumes 121-126)
• Pages: 4892-4896
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.121-126.4892
• Online since: October 2011
• Authors: Ye Cai Guo, Zhi Chao Zhang, Fang Xu, Shi Jie Guo
• Keywords: Support Vector Machine (SVM), Variable Step Size, Wavelet Transform (WT)

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