A Variable Step Size Blind Equalization Algorithm Based on Gamma Distribution
A variable step size Constant Modulus Algorithm (CMA) based on the gamma distribution is implemented as solutions to optimize the problem of blind equalization. The factor of step size in blind equalization algorithm is varied with gamma variable, in terms of the characteristics of which, the algorithm can search for the globe optimal equalizer weight vector. Simulation results indicate that the convergence rate and the steady Mean Square Errors (MSE) performances of the algorithm proposed are much better than conventional CMA and modified CMA blind equalization algorithms.
variable step size gamma distribution constant modulus algorithm blind equalization
Zhao Xiang Sun Jinyong Tan Hanhong
School of Information and Communication, Guilin University of Electronic Technology, Guilin,Guangxi Department of Mechanics and electrics, Guangdong University of Science and Technology,Dongguan, Guan
国际会议
沈阳
英文
961-967
2011-11-22(万方平台首次上网日期,不代表论文的发表时间)