A Redirected Learning Architecture for Non-linear Digital Pre-distortion

This paper introduces the redirected learning architecture (RLA) for estimating non-linear digital pre-distortion models for non-linear devices such as power amplifiers. Existing architectures can be classified as direct learning architectures (DLA) or indirect learning architectures (ILA). DLAs fir...

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Bibliographic Details

Published in:	2020 27th IEEE International Conference on Electronics, Circuits and Systems (ICECS) pp. 1 - 4
Main Authors:	Ramsey, Aaron F., Bolstad, Andrew K.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 23-11-2020
Subjects:	Computer architecture Data models Digital pre-distortion Inverse problems non-linear Systems Phase shift keying Power Amplifiers Predistortion Radio frequency Volterra Series Wideband
Online Access:	Get full text
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