基于人工神经网络的微波场效应管噪声波模型的改进

2007 18th European Conference on Circuit Theory and Design Pub Date : 2007-08-01 DOI:10.1109/ECCTD.2007.4529708

Z. Marinković, O. Pronić-Rančić, V. Markovic

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引用次数: 1

摘要

本文介绍了人工神经网络在提高微波场效应晶体管噪声建模精度中的应用。所提出的模型是基于一个基本的晶体管噪声波模型，该模型假设噪声波温度在工作频率范围内是恒定的。为了使原波模型得到的噪声参数值更加准确，在模型中加入了人工神经网络。

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Improved noise wave model of microwave FETs based on artificial neural networks

An application of artificial neural networks for accuracy improving of the microwave FET transistor 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. An artificial neural network is included in the model in order to make values of the noise parameters obtained by the original wave model more accurate.

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2007 18th European Conference on Circuit Theory and Design

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