A neuro-fuzzy computing technique for modeling laser-diode nonlinearity in a radio-over-fibre link

Yuksel M. E., Develi I.

INTERNATIONAL JOURNAL OF RF AND MICROWAVE COMPUTER-AIDED ENGINEERING, vol.15, no.3, pp.329-335, 2005 (SCI-Expanded, Scopus)

  • Publication Type: Article / Article
  • Volume: 15 Issue: 3
  • Publication Date: 2005
  • Doi Number: 10.1002/mmce.20077
  • Journal Name: INTERNATIONAL JOURNAL OF RF AND MICROWAVE COMPUTER-AIDED ENGINEERING
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.329-335
  • Keywords: millimeter-wave radio, radio-over-fibre transmission, laser diode nonlinearity, 3(rd)-order intermodulation distortion, neuro-fuzzy modeling
  • Erciyes University Affiliated: Yes

Abstract

Neuro-fuzzy (NF) models are well-known robust learning systems that combine the advantages of fuzzy sets and neurocomputation theory. This article presents the application of the NF approach to the computation of 3rd-order intermodulation power levels in microwave-intensity-modulated GaAlAs laser diodes for radio-over-fibre communications. The excellent agreement between the computed results and experimental measurements validates the presented NF approach.
Neuro-fuzzy (NF) models are well-known robust learning systems that combine the advantages of fuzzy sets and neurocomputation theory. This article presents the application of the NF approach to the computation of 3(rd)-order intermodulation power levels in microwave-intensity-modulated GaAlAs laser diodes for radio-over-fibre communications. The excellent agreement between the computed results and experimental measurements validates the presented NF approach. (c) 2005 Wiley Periodicals, Inc.