Composite Adaptive Digital Predistortion with Improved Variable Step Size LMS Algorithm

DOI

10.2991/itoec-16.2016.28How to use a DOI?

Keywords

power amplifiers; linearization techniques; predistortion; adaptive algorithms

Abstract

This paper presents a composite learning (CL) architecture. The CL can make use of the advantages of both direct and indirect learning. By an appropriate threshold, the indirect learning can be switched into direct learning. In order to further improve the performance of direct learning, an improved variable step size LMS algorithm is proposed. The proposed algorithm has the lower normalized mean-square error (NMSE) with low computation complexity. The outstanding performance is confirmed by simulation results.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Linhai Gu
AU  - Lu Gu
AU  - Jian Mao
AU  - Lijia Ge
PY  - 2016/05
DA  - 2016/05
TI  - Composite Adaptive Digital Predistortion with Improved Variable Step Size LMS Algorithm
BT  - Proceedings of the 2nd Information Technology and Mechatronics Engineering Conference (ITOEC 2016)
PB  - Atlantis Press
SP  - 157
EP  - 162
SN  - 2352-5401
UR  - https://doi.org/10.2991/itoec-16.2016.28
DO  - 10.2991/itoec-16.2016.28
ID  - Gu2016/05
ER  -