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Chapter

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Title

Improving compensation of nonlinear distortions in OFDM system using recurrent neural network with conjugate gradient algorithm

Authors

[ 1 ] Instytut Elektroniki i Telekomunikacji (IEt), Wydział Elektryczny, Politechnika Poznańska | [ P ] employee

Year of publication

2004

Chapter type

paper

Publication language

english

Keywords
EN
  • predistorter
  • OFDM
  • nonlinear HPA
  • neural network
Abstract

EN The paper presents a neural network predistortion technique compensating for nonlinear distortions caused by an HPA (high power amplifier) cascaded with a filter in an OFDM (orthogonal frequency division multiplexing) system. It is confirmed by computer simulation that the proposed approach produces a faster convergence speed than the conventional backpropagation algorithm. The predistortion technique based on a neural network is very attractive from the implementation point of view, because of the low amount of RAM required and rapid convergence from a blind start.

Pages (from - to)

180 - 185

DOI

10.1109/PIMRC.2004.1370860

URL

https://ieeexplore.ieee.org/document/1370860

Comments

volume 1

Book

2004 IEEE 15th International Symposium on Personal, Indoor and Mobile Radio Communications PIMRC 2004, Barcelona, Spain, 5-8 September, 2004 : Proceedings

Presented on

15th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications PIMRC 2004, 5-8.09.2004, Barcelona, Spain

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