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A Comparative Analysis of Behavioral Models for RF Power Amplifiers
University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för elektronik.
University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för elektronik.ORCID iD: 0000-0003-2887-049x
2006 (English)In: IEEE transactions on microwave theory and techniques, ISSN 0018-9480, E-ISSN 1557-9670, Vol. 54, no 1, p. 348-359Article in journal (Refereed) Published
Abstract [en]

A comparative study of nonlinear behavioral models with memory for radio-frequency power amplifier (PAs) is presented. The models are static polynomial, parallel Hammerstein (PH), Volterra, and radial basis-function neural network (RBFNN). Two PAs were investigated: one was designed for the third-generation (3G) mobile telecommunication systems and one was designed for the second-generation (2G). The RBFNN reduced the total model error slightly more than the PH, but the error out of band was significantly lower for the PH. The Volterra was found to give a lower model error than did a PH of the same nonlinear order and memory depth. The PH could give a lower model error than the best Volterra, since the former could be identified with a higher nonlinear order and memory depth. The qualitative conclusions are the same for the 2G and 3G PAs, but the model errors are smaller for the latter. For the 3G PA, a static polynomial gave a low model error as low as the best PH and lower than the RBFNN for the hardest cross validation. The models with memory, PH, and RBFNN, showed better cross-validation performance, in terms of lower model errors, than a static polynomial for the hardest cross validation of the 2G PA.

Place, publisher, year, edition, pages
2006. Vol. 54, no 1, p. 348-359
Keywords [en]
modeling, neural networks, nonlinear distortion, power amplifiers (PAs), radio communication
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:hig:diva-2354DOI: 10.1109/TMTT.2005.860500ISI: 000234657600044OAI: oai:DiVA.org:hig-2354DiVA, id: diva2:119016
Available from: 2008-06-19 Created: 2008-06-19 Last updated: 2018-03-28Bibliographically approved
In thesis
1. Radio Frequency Power Amplifiers: Behavioral Modeling, Parameter-Reduction, and Digital Predistortion
Open this publication in new window or tab >>Radio Frequency Power Amplifiers: Behavioral Modeling, Parameter-Reduction, and Digital Predistortion
2007 (English)Doctoral thesis, comprehensive summary (Other academic)
Place, publisher, year, edition, pages
Stockholm: Royal Institute of Technology, 2007. p. 59
Series
Trita-EE, ISSN 1653-5146 ; 2007:010
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:hig:diva-3571 (URN)978-91-7178-589-3 (ISBN)
Public defence
(English)
Available from: 2009-01-22 Created: 2009-01-21 Last updated: 2018-03-13Bibliographically approved

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Isaksson, MagnusRönnow, Daniel

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