Kalman Filter Algorithm for Adaptive Digital Predistortion

DOI

10.2991/iccsee.2013.572How to use a DOI?

Keywords

digital predistorter, memory-polynomials model, Kalman filter, state-space equation, LMS

Abstract

This paper introduces a recursive algorithm of Kalman filter for digital predistorter parameters extraction based on memory polynomials predistorter model. The predistorter model is firstly formulated as linear regression expression. Then we derive the state-space equation of the model and attain the steps of the algorithm. Finally, the accuracy and stability of the algorithm is proved by simulation.

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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TY  - CONF
AU  - Xiaowei Kong
AU  - Jinzheng Li
AU  - Wei Xia
AU  - Zishu He
PY  - 2013/03
DA  - 2013/03
TI  - Kalman Filter Algorithm for Adaptive Digital Predistortion
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 2283
EP  - 2286
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.572
DO  - 10.2991/iccsee.2013.572
ID  - Kong2013/03
ER  -