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
fDate :
3/1/2012 12:00:00 AM
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;
Journal_Title :
Broadcasting, IEEE Transactions on
DOI :
10.1109/TBC.2011.2174281