A New Complex Recurrent Neural Network Equalizer for Data Communcation

초록

A new modified version called decision feedback complex recurrent neural network equalizer (DFCRNNE) is proposed with the study of complex recurrent neural network adaptive equalizer (CRNNE). Based on DFCRNNE, a modified real time recurrent learning (CRTRL) algorithm is developed. Simulation results show that DFCRNNE has better performance than the CRNNE based on traditional CRTRL algorithm [2] in complex non-linear channels with severe intersymbol interference (ISI) and non-linear distortion.