DocumentCode
1223378
Title
Analysis and simulation of spectral regrowth in radio frequency power amplifiers
Author
Baytekin, Burcin ; Meyer, Robert G.
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., Univ. of California, Berkeley, CA, USA
Volume
40
Issue
2
fYear
2005
Firstpage
370
Lastpage
381
Abstract
This work presents a novel method for efficiently analyzing the relationship between spectral regrowth and physical distortion mechanisms in radio frequency power amplifiers. It utilizes a Volterra series model whose coefficients are computed from basic SPICE parameters. The analysis uses a decomposition of the Volterra kernels into simpler subsystems in order to greatly reduce the computation times. The method is applied to the design of several bipolar-transistor power amplifiers after a series-based model is developed for representing the increase in active device forward transit time at high collector current densities. A number of single-stage SiGe power amplifiers have been designed, fabricated, and tested using the IEEE 802.11b and IS-95 modulation schemes at different carrier frequencies, and these results are compared with the theoretical analysis.
Keywords
Ge-Si alloys; IEEE standards; SPICE; Volterra series; bipolar analogue integrated circuits; bipolar transistors; circuit simulation; integrated circuit design; power amplifiers; radiofrequency amplifiers; spectral analysis; IEEE 802.11b modulation scheme; IS-95 modulation scheme; SPICE parameter; SiGe; Volterra kernel decomposition; Volterra series model; adjacent channel power ratio; bipolar-transistor power amplifier; forward transit time; physical distortion mechanism; radio frequency power amplifier; series-based model; single-stage SiGe power amplifier; spectral regrowth; Analytical models; Bipolar transistors; Computational modeling; Current density; High power amplifiers; Kernel; Power amplifiers; Radio frequency; Radiofrequency amplifiers; SPICE;
fLanguage
English
Journal_Title
Solid-State Circuits, IEEE Journal of
Publisher
ieee
ISSN
0018-9200
Type
jour
DOI
10.1109/JSSC.2004.840968
Filename
1388626
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