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Digital Pre-Distortion Coefficients Identification Using Gauss-Newton Based Direct Learning Architecture

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Abstract

We propose to identify the coefficients of a digital pre-distortion equalizer based on direct learning architecture (DLA) using the Gauss-Newton method. Experimental results show that DLA outperforms indirect learning architecture by 0.5dB.

© 2023 The Author(s)

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