FPEF-based blind adaptive channel equalization with arbitrary decision delay

Abstract

Blind equalization of the communication channel is important because it does not need a training signal, nor does it require a priori channel information to increase bandwidth efficiency. The linear prediction error method is perhaps the most attractive in practice due to its sensitivity to blind channel equalizer length mismatch and simple adaptive implementation. Unfortunately, the previous one-step prediction error method has a limited arbitrary decision delay. In this paper, we propose a method for fractionally spaced blind equalizer with arbitrary decision delay using one-step forward prediction error filter from the second-order statistics of the received signals for SIMO channel. Our algorithm utilizes the forward prediction error as the training signal and computes the best decision delay from all the possible decision delay. Simulation results are presented to demonstrate the performance of our proposed algorithm.