DocumentCode :
654692
Title :
Optimal order estimation for modeling and predistortion of power amplifiers
Author :
Gotthans, T. ; Baudoin, Genevieve ; Mbaye, Amadou
Author_Institution :
ESIEE, Univ. Paris-Est, Noisy-le-Grand, France
fYear :
2013
fDate :
21-23 Oct. 2013
Firstpage :
1
Lastpage :
4
Abstract :
Power amplifier is an essential component in communication systems. Digital baseband predistortion is a cost effective approach to linearize a power amplifier. Models derived from Volterra series are often used. 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 non-linearity, memory lengths, etc. There have been many works on the estimation of model coefficients but few works have focused on the determination of the model structure. 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 amplifier modeling. The used fitness function aims to achieve a compromise 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 :
Volterra series; genetic algorithms; integer programming; polynomials; power amplifiers; Volterra series; digital baseband predistortion; fitness function; integer genetic algorithm; optimal order estimation; polynomial series; power amplifier modeling; power amplifier predistortion; Complexity theory; Estimation; Genetic algorithms; Mathematical model; Numerical models; Polynomials; Predistortion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Microwaves, Communications, Antennas and Electronics Systems (COMCAS), 2013 IEEE International Conference on
Conference_Location :
Tel Aviv
Type :
conf
DOI :
10.1109/COMCAS.2013.6685279
Filename :
6685279
Link To Document :
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