One-step model extraction method for direct learning digital predistortion

DOI number:10.1049/el.2014.1235

Journal:Electronics Letters

Abstract:A one-step model extraction method is proposed for direct learning (DL) digital predistortion (DPD) system. The expected predistortion signal of the training sequence is first derived by iterative injection of the baseband distortion components, which enables one-step model extraction of the DPD model by least squares estimation afterwards. Compared with the conventional model extraction method for DL DPD, the proposed method yields comparable linearisation performance but has much lower computational complexity.

First Author:Guang Yang (杨光)

Co-author:Haoyu Wang,Lingli Li

Indexed by:Journal paper

Correspondence Author:Falin Liu

Discipline:Engineering

Document Type:J

Volume:50

Issue:15

Page Number:1148-1150

Translation or Not:no

Date of Publication:2014-07-31