Variable Step-size Wavelet Vector Machine Blind Equalization Algorithm

摘要：

　　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.

关键词： Variable step-size Support vector machine Wavelet transform

作者: Yecai Guo Zhichao Zhang Fang Xu Shijie Guo

作者单位: Nanjing University of Information Science & Technology, Jiangsu Technology and EngineeringCenter of College of Physics and Electronic Information, Huaibei Normal University, Huaibei 235000,China

会议类型: 国际会议

会议名称: the Second International Conference on Frontiers of Manufacturing and Design Science(第二届制造与设计科学国际会议(ICFMD 2011))

会议地点: 台湾

会议语种:英文

页码: 4892-4896

在线出版日期: 2011-12-11（万方平台首次上网日期，不代表论文的发表时间）