LMS-type self-adaptive algorithms for predictive decision feedback equalizer

Based on the fact that predictive decision feedback equalizer (DFE) is composed of a feedforward filter (FFF) of a linear equalizer (LE) and a feedback filter (FBF) of a predictor, an LMS-type self-adaptive equalization method for the predictive DFE is proposed. The coefficients of the FFF and the FBF are estimated by applying blind linear equalization algorithm and decision feedback prediction algorithm, respectively. As prediction algorithm provides superior convergency, the DFE always converges to a suboptimal point on the condition that the front-end LE converges. Simulation results demonstrate the effectiveness of the proposed method.