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Artificial neural network applications in improved noise wave modeling of microwave FETs

✍ Scribed by Zlatica D. Marinković; Olivera Pronić-Rančić; Vera Marković

Publisher
John Wiley and Sons
Year
2008
Tongue
English
Weight
489 KB
Volume
50
Category
Article
ISSN
0895-2477

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✦ Synopsis

Abstract

An application of artificial neural networks (ANNs) for accuracy improving of the microwave FETs (MESFET/HEMT, dual‐gate MESFET) noise modeling is presented in this paper. The proposed model is based on a basic transistor noise wave model, whose noise wave temperatures are assumed to be constant over the operating frequency range. A multilayer perceptron ANN is included in the model in order to adjust values of the noise parameters obtained by the original wave model to be more accurate. Numerical examples for noise parameters modeling are presented to show the validity and effectiveness of this approach. © 2008 Wiley Periodicals, Inc. Microwave Opt Technol Lett 50: 2512–2516, 2008; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.23771

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