A Predistortion Algorithm Based on Accurately Solving the Reverse Function of Memory Polynomial Model

Author

Pan, Wensheng ; Liu, Ying ; Tang, Youxi

Author_Institution

Nat. Key Lab. of Sci. & Technol. on Commun., Univ. of Electron. Sci. & Technol. of China, Chengdu, China

Volume

1

Issue

4

fYear

2012

fDate

8/1/2012 12:00:00 AM

Firstpage

384

Lastpage

387

Abstract

This letter presents a predistortion algorithm which identifies the power amplifier (PA) model and accurately calculates the predistortion function from the model by a new method. The method constructs a univariate polynomial and finds its roots by QR factorization. Although additional calculations are required, the new algorithm can compensate the nonlinearity of the PA more precisely and reduce the normalized mean square error (NMSE) performance of the new algorithm to the NMSE of the PA modeling. Simulation results demonstrate that the new algorithm outperforms the conventional algorithm by 4dB in the adjacent channel leakage ratio (ACLR) performance.

Keywords

mean square error methods; polynomials; power amplifiers; ACLR performance; NMSE performance; PA model; PA modeling; QR factorization; adjacent channel leakage ratio performance; memory polynomial model reverse function; normalized mean square error performance; power amplifier model; predistortion algorithm; univariate polynomial; Adaptation models; Approximation algorithms; Computational modeling; Polynomials; Predistortion; Signal processing algorithms; Wireless communication; Digital predistortion; memory polynomial model; power amplifier;

fLanguage

English

Journal_Title

Wireless Communications Letters, IEEE

Publisher

ieee

ISSN

2162-2337

Type

jour

DOI

10.1109/WCL.2012.053112.120310

Filename

6211387