Low Computational Complexity Digital Predistortion Based on Direct Learning With Covariance Matrix

This paper proposes a novel approach for digital predistortion, based on direct learning architecture (DLA), to reduce the computational complexity. In power amplifier (PA) behavioral models, the coefficients of a Volterra polynomial or a simplified Volterra polynomial are extracted by calculating t...

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