DocumentCode :
1399761
Title :
Digital Predistortion Using Stochastic Conjugate Gradient Method
Author :
Jiang, Hong ; Yu, Xin ; Wilford, Paul A.
Author_Institution :
Bell Labs., Alcatel-Lucent, Murray Hill, NJ, USA
Volume :
58
Issue :
1
fYear :
2012
fDate :
3/1/2012 12:00:00 AM
Firstpage :
114
Lastpage :
124
Abstract :
This paper is concerned with digital predistortion for linearization of RF high power amplifiers (HPAs). An iterative stochastic conjugate gradient (SCG) method is used in computing the predistorter in the digital predistortion. We also propose an adaptive scheme for selecting basis functions in the SCG computations. The adaptive scheme with SCG has the advantage of reducing the complexity and, at the same time, increasing the convergence rate and stability of iteration. We present some results of using the SCG in a hardware platform with a solid state HPA.
Keywords :
conjugate gradient methods; power amplifiers; HPA linearization; RF high-power amplifiers; basis function selection; complexity reduction; digital predistortion; iteration stability; iterative SCG method; solid-state HPA; stochastic conjugate gradient method; Approximation methods; Convergence; Covariance matrix; Polynomials; Predistortion; Vectors; Gradient methods; linearization techniques; power amplifiers; predistortion; stochastic systems;
fLanguage :
English
Journal_Title :
Broadcasting, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9316
Type :
jour
DOI :
10.1109/TBC.2011.2174281
Filename :
6104394
Link To Document :
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