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/).
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 -