A Novel Scheme for Power Amplifier Predistortion Based on Indirect Learning Architecture

Authors:
Ai Bo;Zhong Zhang-Dui;Zhu Gang;Yang Yan;Xu Rong-Tao
Affiliations:
State Key Labarotary of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China 100044;State Key Labarotary of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China 100044;State Key Labarotary of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China 100044;State Key Labarotary of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China 100044;State Key Labarotary of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China 100044
Venue:
Wireless Personal Communications: An International Journal
Year:
2008

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Abstract

Polynomial predistortion techniques for power amplifier (PA) non-linearities based on indirect learning architecture (IDLA) are widely used. The benefit of the IDLA leaves unnecessary the assumption of a model for PA, corresponding parameters estimation and inverse construction. In this paper, a novel scheme based on IDLA for PA predistortion is proposed. It has better power spectral density (PSD) and relative mean square error (RMSE) performances than the conventional IDLA-based methods especially when the PA non-liearity is more severe. Simulations and theoretical analysis verify the good performances of the proposed scheme.