Behavioral Power Amplifier Modeling Using the LASSO
2008 (English)In: 2008 IEEE INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE, 2008, 1864-1867 p.Conference paper (Refereed)
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 larger 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.
, IEEE instrumentation & measurement technology conference, proceedings, ISSN 1091-5281
Behavioral modeling, LASSO, measurement system, power amplifier, regularization
Electrical Engineering, Electronic Engineering, Information Engineering
IdentifiersURN: urn:nbn:se:kth:diva-34906DOI: 10.1109/IMTC.2008.4547349ISI: 000261512101101ScopusID: 2-s2.0-51349163193ISBN: 978-1-4244-1540-3OAI: oai:DiVA.org:kth-34906DiVA: diva2:428690
25th IEEE Instrumentation and Measurement Technology Conference Victoria, CANADA, MAY 12-15, 2008
QC 201107012011-07-012011-06-172011-11-18Bibliographically approved