DocumentCode
1819355
Title
Bandwidth-constrained least squares-based model extraction for band-limited digital predistortion of RF power amplifiers
Author
Guan, Lei ; Yu, Chao ; Zhu, Anding
Author_Institution
Sch. of Electr., Electron. & Commun. Eng., Univ. Coll. Dublin, Dublin, Ireland
fYear
2012
fDate
3-4 Sept. 2012
Firstpage
1
Lastpage
3
Abstract
In this paper, a bandwidth-constrained least squares (LS)-based model extraction is proposed to enhance the linearization performance of band-limited digital predistortion (DPD) for RF power amplifiers (PAs). By laying frequency bandwidth constraints on the conventional LS-based model extraction, the modified extraction method is adapted for the band-limited DPD scenario. Compared to the conventional LS-based model extraction, the proposed bandwidth-constrained LS based approach can provide an accurate model extraction with much narrower bandwidth. In order to evaluate the performance, experimental validation was carried out on a wideband Doherty PA, which was designed for 3G/4G wireless communication systems. By applying the proposed approach, the ACLR achieved below -55 dBc for 40 MHz 8-carrier UMTS signal within only 80 MHz observation bandwidth.
Keywords
UHF power amplifiers; least squares approximations; 3G-4G wireless communication systems; ACLR; RF power amplifiers; UMTS signal; band-limited DPD; band-limited digital predistortion; bandwidth 80 MHz; bandwidth-constrained LS-based model extraction; bandwidth-constrained least squares-based model extraction; frequency 40 MHz; frequency bandwidth constraints; wideband Doherty PA; Bandwidth; Educational institutions; Radio frequency; Wireless communication; band-limited system; digital predistortion (DPD); least squares (LS); linearization; model extraction; power amplifier (PA);
fLanguage
English
Publisher
ieee
Conference_Titel
Integrated Nonlinear Microwave and Millimetre-Wave Circuits (INMMIC), 2012 Workshop on
Conference_Location
Dublin
Print_ISBN
978-1-4673-2950-7
Electronic_ISBN
978-1-4673-2948-4
Type
conf
DOI
10.1109/INMMIC.2012.6331927
Filename
6331927
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