The use of artificial neural networks in nonlinear microwave devices and circuits modeling: An application to telecommunication system design (invited article)

Abstract : The design of telecommunication systems is a hierarchical process involving use of a large set of simulation tools and relying on appropriate modeling of system elements to obtain get-it-right-the-first-time fabrication. This paper investigates in detail possible application of neural networks to modeling of large-signal hard-nonlinear behavior of power transistors for circuit design purpose, and modeling of nonlinear circuits such as power amplifiers for system design purpose. The problem of finding a good model is discussed through solutions offered by neural networks, with particular interest in wavelet networks trained by BFGS algorithms. Finally, experimental results are reported. ©1999 John Wiley & Sons, Inc. Int J RF and Microwave CAE 9: 198–215, 1999.
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Article dans une revue
International Journal of RF and Microwave Computer-Aided Engineering, Wiley, 1999, Special Issue: Applications of Artificial Neural Networks to RF and Microwave Design, 9 (3), pp.198-215. 〈10.1002/(SICI)1099-047X(199905)9:3<198::AID-MMCE6>3.0.CO;2-A〉
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Soumis le : dimanche 13 mars 2016 - 23:33:10
Dernière modification le : jeudi 11 janvier 2018 - 06:17:28

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Youcef Harkouss, Jean Rousset, Hicham Chehade, Edouard Ngoya, Denis Barataud, et al.. The use of artificial neural networks in nonlinear microwave devices and circuits modeling: An application to telecommunication system design (invited article). International Journal of RF and Microwave Computer-Aided Engineering, Wiley, 1999, Special Issue: Applications of Artificial Neural Networks to RF and Microwave Design, 9 (3), pp.198-215. 〈10.1002/(SICI)1099-047X(199905)9:3<198::AID-MMCE6>3.0.CO;2-A〉. 〈hal-01287613〉

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