A Constant Modulus Blind Channel Equalization Algorithm with Accelerating Convergence

A constant modulus blind equalization algorithm using the data reuse technology is presented. The data reuse method used in this algorithm accelerates the convergence rate and gets rid of the obvious noise amplifying which other data reuse methods suffer to. The problem of the algorithm is that ill-convergence is caused by data reuse in some conditions. In this paper, the condition of both ill-convergence and best-convergence is studied and the corresponding conclusions are given. The results are proved by computer simulation