A Novel Scheme for Power Amplifier Predistortion Based on Indirect Learning Architecture |
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| Authors: | Ai Bo Zhong Zhang-Dui Zhu Gang Yang Yan Xu Rong-Tao |
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| Affiliation: | (1) State Key Labarotary of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, 100044, China |
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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.
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| Keywords: | PA Polynomial Predistortion Indirect learning archietecture |
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