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  • 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.
  • 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. (en)
Title
  • Optimal Order Estimation for Modeling and Predistortion of Power Amplifiers
  • Optimal Order Estimation for Modeling and Predistortion of Power Amplifiers (en)
skos:prefLabel
  • Optimal Order Estimation for Modeling and Predistortion of Power Amplifiers
  • Optimal Order Estimation for Modeling and Predistortion of Power Amplifiers (en)
skos:notation
  • RIV/00216305:26220/13:PU105977!RIV15-MSM-26220___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(ED2.1.00/03.0072), S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 94303
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/13:PU105977
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  • power amplifier, linearization, modeling (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [38AA4E5625EC]
http://linked.open...v/mistoKonaniAkce
  • Tel Aviv
http://linked.open...i/riv/mistoVydani
  • Tel-Aviv
http://linked.open...i/riv/nazevZdroje
  • IEEE COMCAS 2013
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
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http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Götthans, Tomáš
  • Baudoin, Genevieve
  • Mbaye, Amadou
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Neuveden
https://schema.org/isbn
  • 978-1-4577-1692-8
http://localhost/t...ganizacniJednotka
  • 26220
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