Recurrent neural networks usefulness in digital pre-distortion of power amplifiers

Digital pre-distortion techniques are widely utilized in linearization of RF power amplifiers. In this paper recurrent neural networks are used to model an inverse function of the power amplifier. This function predistorts an input signal in digital domain in order to increase the linearity of the modeled power amplifier. The simulation results are presented.