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 Applied Science and Technology, Guilin University of Electronic Technology, Guilin, Guangx Department of Mechanics and Electrics, DongGuan NanBo Polytechnic, Dongguan, Guangdong 523083, China
国际会议
哈尔滨
英文
69-72
2011-01-18(万方平台首次上网日期,不代表论文的发表时间)