Title :
An adaptive Volterra predistorter for the linearization of RF high power amplifiers
Author :
Anding Zhu ; Brazil, T.J.
Author_Institution :
Dept. of Electron. & Electr. Eng., Univ. Coll. Dublin, Ireland
Abstract :
An efficient digital baseband predistortion linearizer is presented to compensate for nonlinear distortions induced by RF high power amplifiers in wireless communication systems. The proposed approach utilizes an indirect learning architecture with a fast recursive least squares (RLS) filtering algorithm, implemented using V-vector algebra, to update the coefficients of a Volterra-based predistorter. There is no requirement for an initial identification of the nonlinear characteristics of HPA as in linearizers based on conventional pth-order inverse methods. Simulation results show that that good performance and low computational complexity are achieved in the linearization of both narrow and wide bandwidth systems.
Keywords :
Volterra series; adaptive signal processing; least squares approximations; linearisation techniques; microwave power amplifiers; nonlinear distortion; radio equipment; recursive filters; HPA nonlinear characteristics; RF high power amplifiers; V-vector algebra; Volterra based predistorter; adaptive Volterra predistorter; computational complexity; digital baseband predistortion linearizer; fast recursive least squares filtering algorithm; indirect learning architecture; inverse methods; linearization; linearizers; narrow bandwidth system; nonlinear distortion compensation; wide bandwidth system; wireless communication systems; Algebra; Baseband; Filtering algorithms; High power amplifiers; Least squares methods; Nonlinear distortion; Predistortion; Radio frequency; Resonance light scattering; Wireless communication;
Conference_Titel :
Microwave Symposium Digest, 2002 IEEE MTT-S International
Conference_Location :
Seattle, WA, USA
Print_ISBN :
0-7803-7239-5
DOI :
10.1109/MWSYM.2002.1011655