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A neuro‐fuzzy computing technique for modeling laser‐diode nonlinearity in a radio‐over‐fibre link
Author(s) -
Yuksel M. Emin,
Develi Ibrahim
Publication year - 2005
Publication title -
international journal of rf and microwave computer‐aided engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.335
H-Index - 39
eISSN - 1099-047X
pISSN - 1096-4290
DOI - 10.1002/mmce.20077
Subject(s) - intermodulation , microwave , radio frequency , computation , diode , fuzzy logic , nonlinear system , electronic engineering , laser , laser diode , power (physics) , computer science , engineering , telecommunications , electrical engineering , physics , optics , artificial intelligence , algorithm , amplifier , cmos , quantum mechanics
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. © 2005 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2005