Abstract:To improve MSE performance in steady-state and convergence rate of blind equalization, a hybrid blind channel equalization algorithm is proposed in this paper. With decision feedback equalizer, the proposed algorithm applies the error item of DD-LMS (Directed Decision-Least Mean Square) for adaptation when decision is reliable, and error item of MCMA (Modified Constant Modulus Algorithm) is applied when decision is unreliable. And the reliable interval of decision is adapted according to the errors of directed-decisions. The proposed algorithm has been simulated with 64QAM signals through severe digital wireless channel, simulation results show that the proposed algorithm has faster convergence rate and better MSE performance in stead-state than MCMA, and brings 2dB advantage when BER is 10-6.