The use of artificial neural networks in nonlinear microwave devices and circuits modeling: An application to telecommunication system design (invited article)
✍ Scribed by Y. Harkouss; J. Rousset; H. Chéhadé; E. Ngoya; D. Barataud; J. P. Teyssier
- Publisher
- John Wiley and Sons
- Year
- 1999
- Tongue
- English
- Weight
- 559 KB
- Volume
- 9
- Category
- Article
- ISSN
- 1096-4290
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✦ Synopsis
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. ᮊ 1999