A new variable step-size CMA blind equalization algorithm is introduced to conquer the defects of CMA, in which the step size is controlled by the estimation of error signal's autocorrelation.

This paper presents variable step dual model constant modulus algorithm, which combine with neural network for blind equalization in nonlinear channel.

Studies on this model put up the constant current block equalization algorithm and also the variable current equalization algorithm with key parameters.