Optimum delay and mean square error using a mixed crosscorrelation and constant modulus algorithm

The performance of the constant modulus algorithm can suffer because of the existence of local minima with large mean squared error (MSE). The paper presents a new method to obtain the optimum MSE over all delays using a second equalizer with a mixed constant modulus and crosscorrelation algorithm (CM-CCA). Proof of convergence is obtained for the noiseless case for a general symbol constellation. Simulations support the potential of the method even in noisy environments