NORMALIZED ADAPTIVE DECISION DIRECTED EQUALIZATION

It has recently been observed that with appropriate stepsize normaliza tion, the convergence speed of the constant modulus (CM) algorithm can be dramatically improved, In this correspondence, it is shown that if a different normalization strategy is used, one that takes into accou nt the finite alphabet structure of the signals, a standard normalized version of the decision directed equalizer (DDE) is achieved. A simul ation example is included to demonstrate the faster convergence of the normalized DDE compared with its constant stepsize implementation and the normalized CM.