In this paper

we proposed a fast algorithm for blind equalization.This algorithm is essentially different from usual ones for blind equalization in the sense that it does not resort to any merit function and corresponding minimization algorithm so that it completely avoids the difficulty of global convergence.The new algorithm is based on a priori knowledge of some statistical properties of the channel input sequence and fully uses the relation between the channel input sequence and the observed output sequence.It only uses operations for comparison and few multiplication and addition so that the computational costs are much lower than that of usual blind equalization algorithms.