Performance evaluation of a Decision Feedback Equalizer with an Adaptive Error Prediction Filter

We proposed an adaptive error prediction filter with a decision feedback equalizer (AEPF-DFE) to achieve faster convergence and lower computational cost during the tracking period. An AEPF is a linear predictive filter that updates its coefficients using an adaptive algorithm. We got the basic characteristic about an AEPF-DFE and the effectiveness was shown using computer simulations. Specially, using a step size of 0.05 and a forgetting factor of 0.7 for the channels considered in this evaluation, we confirmed the effectiveness and domination of the AEPF-DFE in terms of convergence, bit error rate and computational load by computer simulations.