Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
446065 | AEU - International Journal of Electronics and Communications | 2015 | 10 Pages |
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
Authors
Ana Anastasijevic, Duska Coja, Natasa Neskovic, Aleksandar Neskovic, Djuradj Budimir,