A decision feedback recurrent neural equalizer for digital communication

In this paper, we introduce an adaptive decision feedback recurrent neural equalizer (DFRNE) whose small size and high performance makes it suitable for high-speed channel equalization. By evaluating its performance through computer simulations for various channels, the DFRNE has comparable performance with traditional equalizers when the channel interferences are mild; it outperforms them when the channel´s transfer function has spectral null or when severe nonlinear distortion is present. In addition, the DFRNE, being essentially an IIR filter, is shown to outperform multilayer perceptron equalizers in linear and nonlinear channel equalization cases