Blind signal recovery using a novel system identification approach

The blind equalization approaches that have been developed and employed in the literature, in relation to moving average (MA) systems give encouraging results provided that the length of the equalizer is significantly greater than that of the channel. Motivated from a desire to reduce this length, the problem is cast in the context of system identification, in which case any length for the adaptive filter that is equal to or greater than that of the original system may be assumed. To implement the identification problem, a novel low order block based cost function of the constant modulus type is formulated, which is minimized using a zero tolerance optimization approach.