Soft decision solution to ill convergence of blind decision feedback equalizers

Decision Feedback Equalizers (DFE) for blind equalization are subject to ill-convergence. In this paper we prove that the algorithms may be blind to the global minimum due to the error surface structure. The use of a soft decision in the decision device during a pseudo-training phase solve partially the problem of ill-convergence of DFE.