Soft-decision dual-mode blind equalization algorithm based on clustering.

Switching time of traditional dual-mode algorithms generally determined empirically, which is that when through a certain number of iterations or mean square error is reduced to a range, algorithm gets its hard switching. For this situation, this paper proposed a clustering technology based soft decision dual-mode constant modulus blind equalization algorithm. New algorithm was more practical because that it can switch automatically without affecting the convergence speed and accuracy. It firstly analysed the information of initial outputs of constellation equalization algorithm, and then obtained a rough outline of the constellation diagram according to subtractive clustering. Finally it used fuzzy C-means (FCM) clustering for secondary processing to obtain accurate information on the constellation. If the resulting constellation meets criteria, equalizer will switch to the subsequent algorithm to complete equalization, which achieved a soft switching in the algorithm. Simulation results show the effectiveness of the algorithm. [ABSTRACT FROM AUTHOR]