A Support Vector Machine Blind Equalization Algorithm Based on Immune Clone Algorithm

2011 ◽  
pp. 428-433 ◽  
Author(s):  
Guo Yecai ◽  
Ding Rui
Keyword(s):  
Support Vector Machine ◽  
Blind Equalization ◽  
Support Vector ◽  
Equalization Algorithm

Variable Step-Size Wavelet Vector Machine Blind Equalization Algorithm

2011 ◽  
Vol 121-126 ◽  
pp. 4892-4896
Author(s):  
Ye Cai Guo ◽  
Zhi Chao Zhang ◽  
Fang Xu ◽  
Shi Jie Guo
Keyword(s):  
Support Vector Machine ◽  
Wavelet Transform ◽  
Convergence Rate ◽  
Blind Equalization ◽  
Weight Vector ◽  
Support Vector ◽  
Variable Step Size ◽  
Step Size ◽  
Equalization Algorithm ◽  
Variable Step

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.

Blind equalization using the IRWLS formulation of the support vector machine

2009 ◽  
Vol 89 (7) ◽  
pp. 1436-1445 ◽  
Author(s):  
Marcelino Lázaro ◽  
Jonathan González-Olasola
Keyword(s):  
Support Vector Machine ◽  
Blind Equalization ◽  
Support Vector

Wavelet Vector Machines Blind Equalization Algorithm Based on Variable Segmentation Error Function

2010 ◽  
Vol 44-47 ◽  
pp. 3210-3214
Author(s):  
Ye Cai Guo ◽  
Zhi Chao Zhang
Keyword(s):  
Error Function ◽  
Blind Equalization ◽  
Weight Vector ◽  
Support Vector ◽  
Constant Modulus ◽  
Initial Weight ◽  
Segmentation Error ◽  
Vector Machines ◽  
Equalization Algorithm ◽  
Fast Convergence Rate

To overcome the disadvantage of constant modulus algorithm's slow convergence and local minimum, this paper presents a wavelet vector machine blind equalization algorithm based on variable segmentation error function. This proposed algorithm uses support vector machine to optimize the initial weight vector, then, it switches to Wavelet Constant Modulus blind equalization Algorithm(WCMA) with odd symmetry variable segmentation error function. The computer simulation with underwater acoustic channel demonstrates that the proposed algorithm has fast convergence rate and small mean square error.

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