Adaptive predistortion for solid state power amplifier using multilayer perceptron

Author

Langlet, F. ; Abdulkader, H. ; Roviras, D. ; Maller, A. ; Castanié, F.

Author_Institution

ENSEEIHT-TeSA, Toulouse, France

Volume

1

fYear

2001

fDate

2001

Firstpage

325

Abstract

We present two adaptive predistortion techniques for non-linear satellite amplifiers. The amplifier gives two kind of distortions: amplitude distortion (AM/AM conversion) and phase distortion (AM/PM conversion). We compare the performance of these predistortion techniques applied to the same amplifier. Both predistortions are realized with multilayer perceptron (MLP) neural networks (NN) associated with the backpropagation (BP) algorithm. The first adaptive predistortion technique identifies the inverse AM/AM conversion with one NN and the direct AM/PM conversion with another one. The second one realizes directly the predistortion by training an input NN at the input of the amplifier. This NN contains one structure for the inversion of the AM/AM conversion and one for the AM/PM conversion

Keywords

adaptive signal processing; backpropagation; multilayer perceptrons; nonlinear distortion; power amplifiers; satellite communication; adaptive predistortion; amplitude distortion; backpropagation algorithm; multilayer perceptron; neural networks; nonlinear satellite amplifiers; phase distortion; solid state power amplifier; Backpropagation; Multi-layer neural network; Multilayer perceptrons; Neural networks; Nonlinear distortion; Phase distortion; Power amplifiers; Predistortion; Satellites; Solid state circuits;

fLanguage

English

Publisher

ieee

Conference_Titel

Global Telecommunications Conference, 2001. GLOBECOM '01. IEEE

Conference_Location

San Antonio, TX

Print_ISBN

0-7803-7206-9

Type

conf

DOI

10.1109/GLOCOM.2001.965132

Filename

965132