Low-complexity adaptive algorithms for pre-distortion of power amplifiers

Author

Chen, Kuan-Hung ; Chiueh, Tzi-Dar

Author_Institution

Graduate Inst. of Electron. Eng., Nat. Taiwan Univ., Taipei, Taiwan

fYear

2005

fDate

23-26 May 2005

Firstpage

5051

Abstract

Adaptive systems have been broadly used in a wide range of applications and can be categorized into linear or nonlinear adaptive systems. Unfortunately, hardware complexity for implementing adaptive systems is usually high. In this paper, a low-complexity LMS algorithm based on a new number system is proposed and applied to a multilayer perceptron (MLP). Simulation results show that the proposed adaptive algorithm, with its much lower complexity, can still achieve comparable performance to traditional adaptive algorithms.

Keywords

adaptive systems; backpropagation; least mean squares methods; linearisation techniques; multilayer perceptrons; nonlinear systems; power amplifiers; GSPT number system; GSPT-AS based backpropagation algorithm; MLP; adaptive nonlinear systems; grouped signed power-of-two number system; low-complexity LMS algorithm; low-complexity adaptive algorithms; multilayer perceptron; power amplifier predistortion; Adaptive algorithm; Adaptive filters; Adaptive systems; Error correction; Hardware; Least squares approximation; Multilayer perceptrons; Nonlinear distortion; Nonlinear systems; Power amplifiers;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2005. ISCAS 2005. IEEE International Symposium on

Print_ISBN

0-7803-8834-8

Type

conf

DOI

10.1109/ISCAS.2005.1465769

Filename

1465769