Publication detail

Optimal Order Estimation for Modeling and Predistortion of Power Amplifiers

GÖTTHANS, T. BAUDOIN, G. MBAYE, A.

Original Title

Optimal Order Estimation for Modeling and Predistortion of Power Amplifiers

Type

conference paper

Language

English

Original Abstract

Digital baseband predistortion is a cost effective approach to linearize a power amplifier. For a given type of model, two questions have to be solved: estimation of the model coefficients, and determination of the model structure, e.g. orders of nonlinearity, memory lengths. To choose proper orders of series is not evident in order to keep low complexity with acceptable results. In the article, we propose to use an integer genetic algorithm for the determination of orders of polynomial series for predistortion or power mamplifier modeling. The used fitness function aims to achieve a compromize between accuracy and complexity of the model. The method is evaluated on real measured power amplifier. The obtained results show that the proposed integer genetic algorithm is able to determine in a very small number of iterations a good model structure. Its complexity is quite low and it can be applied whether offline or online for adaptive determination of the structure.

Keywords

power amplifier, linearization, modeling

Authors

GÖTTHANS, T.; BAUDOIN, G.; MBAYE, A.

RIV year

2013

Released

16. 11. 2013

Location

Tel-Aviv

ISBN

978-1-4577-1692-8

Book

IEEE COMCAS 2013

Pages from

1

Pages to

5

Pages count

5

BibTex

@inproceedings{BUT102956,
  author="Tomáš {Götthans} and Genevieve {Baudoin} and Amadou {Mbaye}",
  title="Optimal Order Estimation for Modeling and Predistortion of Power Amplifiers",
  booktitle="IEEE COMCAS 2013",
  year="2013",
  pages="1--5",
  address="Tel-Aviv",
  isbn="978-1-4577-1692-8"
}