Joint power amplifier and I/Q modulator impairments modelling and compensation for LTE transmitters using artificial neural networks

This work introduces joint power amplifier (PA) and I/Q modulator modelling and compensation for Long Term Evolution (LTE) transmitters using artificial neural networks (ANNs). The proposed solution utilizes a powerful nonlinear autoregressive with exogenous inputs (NARX) ANN architecture, which yields noticeable results for high peak to average power ratio (PAPR) LTE signals. Given the ANNs learning capabilities, this one-step solution, which includes the mitigation of both PA nonlinearity and I/Q modulator impairments, is both accurate and adaptable.