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Behavioral Power Amplifier Modeling Using the LASSO
University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för elektronik.
2008 (English)In: I²MTC 2008 – IEEE International Instrumentation and Measurement Technology Conference Victoria, Vancouver Island, Canada, May 12–15, 2008, 1864-1867 p.Conference paper, Published paper (Refereed)
Abstract [en]

In this paper we use regularization, in the form of

the LASSO, as identification procedure in order to find the

parameters of the parallel Hammerstein model for behavioral

power amplifier modeling. It is shown that the LASSO chooses a

subset of the parameters of the parallel Hammerstein model in a

systematic way and thereby reduces the number of model

parameters while maintaining the performance. The values of the

parameters are also smaller than when the ordinary least-squares

algorithm is used for the parameter extraction since the LASSO

imposes a limit on the L1-norm of the parameters. Thus, the

problem with large, and sometimes very large, parameters that is

often encountered in behavioral power amplifier modeling is

avoided. Experimental results from measurements on a power

amplifier intended for the 3G WCDMA system is provided to

support the theory.

Place, publisher, year, edition, pages
2008. 1864-1867 p.
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:hig:diva-1895DOI: 10.1109/IMTC.2008.4547349OAI: oai:DiVA.org:hig-1895DiVA: diva2:118557
Available from: 2008-05-29 Created: 2008-05-29 Last updated: 2009-08-27Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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  • ieee
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  • Other locale
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