Abstract：A large of number sample data is needed by the blind channel equalization based on HOS (High Order Statistics). The performance of equalization was found to be poor in fast change environment or with short data samples. The blind equalization using second order statistics has drawn considerable attention recently. The performance with fast convergence makes it useful in the mobile communications or short-wave communications. The algorithm for subspace method based on the blind channel identification/equalization using Kalman filter equation is presented, which needs a few data. Simulation results show that the algorithm is effective.
罗来源; 肖先赐. 基于子空间分解的快速盲均衡解调算法[J]. 电子与信息学报, 2003, 25(6): 838-843 .
Luo Laiyuan; Xiao Xianci. The Blind Equalization Based on subspace method with fast convergence. , 2003, 25(6): 838-843 .
2003, Vol. 25 
