Proceedings of the 2013 International Conference on Information Science and Technology Applications (ICISTA-2013)

A New Adaptive Algorithm for Digital Predistortion Using LS with Singular Value Decomposition

Authors
Qin Zhang, Zhibin Zeng
Corresponding Author
Qin Zhang
Available Online June 2013.
DOI
10.2991/icista.2013.34How to use a DOI?
Keywords
power amplifier; digital predistortion; LS; SVD
Abstract

Adaptive algorithm plays an important role in digital predistortion for the linearization of power amplifiers. In this paper, a new approach which uses least square (LS) adaptive algorithm with singular value decomposition (SVD) is presented. When calculating inversion matrix of power amplifier model, if combined with singular value decomposition, LS can not only excavate important structural information of the matrix, but also reduce the dimension of the matrix, and therefore, improve the stability and decrease computation complexity.

Copyright
© 2013, 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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Volume Title
Proceedings of the 2013 International Conference on Information Science and Technology Applications (ICISTA-2013)
Series
Advances in Intelligent Systems Research
Publication Date
June 2013
ISBN
10.2991/icista.2013.34
ISSN
1951-6851
DOI
10.2991/icista.2013.34How to use a DOI?
Copyright
© 2013, 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/).

Cite this article

TY  - CONF
AU  - Qin Zhang
AU  - Zhibin Zeng
PY  - 2013/06
DA  - 2013/06
TI  - A New Adaptive Algorithm for Digital Predistortion Using LS with Singular Value Decomposition
BT  - Proceedings of the 2013 International Conference on Information Science and Technology Applications (ICISTA-2013)
PB  - Atlantis Press
SP  - 169
EP  - 172
SN  - 1951-6851
UR  - https://doi.org/10.2991/icista.2013.34
DO  - 10.2991/icista.2013.34
ID  - Zhang2013/06
ER  -