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Statements

Subject Item
n2:RIV%2F00216305%3A26220%2F13%3APU105977%21RIV15-MSM-26220___
rdf:type
n10:Vysledek skos:Concept
dcterms:description
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.
dcterms:title
Optimal Order Estimation for Modeling and Predistortion of Power Amplifiers Optimal Order Estimation for Modeling and Predistortion of Power Amplifiers
skos:prefLabel
Optimal Order Estimation for Modeling and Predistortion of Power Amplifiers Optimal Order Estimation for Modeling and Predistortion of Power Amplifiers
skos:notation
RIV/00216305:26220/13:PU105977!RIV15-MSM-26220___
n3:aktivita
n18:S n18:P
n3:aktivity
P(ED2.1.00/03.0072), S
n3:dodaniDat
n14:2015
n3:domaciTvurceVysledku
n7:7394489
n3:druhVysledku
n15:D
n3:duvernostUdaju
n5:S
n3:entitaPredkladatele
n20:predkladatel
n3:idSjednocenehoVysledku
94303
n3:idVysledku
RIV/00216305:26220/13:PU105977
n3:jazykVysledku
n11:eng
n3:klicovaSlova
power amplifier, linearization, modeling
n3:klicoveSlovo
n12:linearization n12:modeling n12:power%20amplifier
n3:kontrolniKodProRIV
[38AA4E5625EC]
n3:mistoKonaniAkce
Tel Aviv
n3:mistoVydani
Tel-Aviv
n3:nazevZdroje
IEEE COMCAS 2013
n3:obor
n17:JA
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
3
n3:projekt
n4:ED2.1.00%2F03.0072
n3:rokUplatneniVysledku
n14:2013
n3:tvurceVysledku
Götthans, Tomáš Mbaye, Amadou Baudoin, Genevieve
n3:typAkce
n8:WRD
n3:zahajeniAkce
2013-10-21+02:00
s:numberOfPages
5
n9:hasPublisher
Neuveden
n16:isbn
978-1-4577-1692-8
n21:organizacniJednotka
26220