Detail publikačního výsledku

Optimal Order Estimation for Modeling and Predistortion of Power Amplifiers

GÖTTHANS, T.; BAUDOIN, G.; MBAYE, A.

Originální název

Optimal Order Estimation for Modeling and Predistortion of Power Amplifiers

Anglický název

Optimal Order Estimation for Modeling and Predistortion of Power Amplifiers

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

power amplifier, linearization, modeling

Klíčová slova v angličtině

power amplifier, linearization, modeling

Autoři

GÖTTHANS, T.; BAUDOIN, G.; MBAYE, A.

Rok RIV

2014

Vydáno

16.11.2013

Místo

Tel-Aviv

ISBN

978-1-4577-1692-8

Kniha

IEEE COMCAS 2013

Strany od

1

Strany do

5

Strany počet

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"
}