Article ID Journal Published Year Pages File Type
446065 AEU - International Journal of Electronics and Communications 2015 10 Pages PDF
Abstract

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.

Related Topics
Physical Sciences and Engineering Computer Science Computer Networks and Communications
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