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首页> 外文期刊>IEEE Transactions on Microwave Theory and Techniques >Integrated model parameter extraction using large-scale optimization concepts
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Integrated model parameter extraction using large-scale optimization concepts

机译:使用大规模优化概念的集成模型参数提取

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摘要

A robust approach to modelling parameter extraction in microwave circuit design is presented. The approach not only attempts to match DC and AC measurements under different bias conditions simultaneously, but also employs the DC characteristics of the device as constraints on Bias-dependent parameters, this improving the uniqueness and reliability of the solution. The approach is an expansion of the hierarchical modeling techniques recently proposed J.W. Bandler and S.H. Chen (1988). Based on J.W. Bandler and Q.J. Zhang's (1987) automatic decomposition concepts for large-scale optimization, a sequential model building method is proposed which can be combined with powerful l/sub 1/ optimization techniques to establish a model with simple topology and sufficient accuracy. Practical FET models are used to illustrate the formulation. A detailed numerical example is presented to show the effectiveness of the approach.
机译:提出了一种在微波电路设计中建模参数提取建模的可靠方法。该方法不仅尝试同时匹配不同偏置条件下的直流和交流测量值,而且还利用器件的直流特性作为依赖于偏置的参数的约束,这提高了解决方案的独特性和可靠性。该方法是最近提出的J.W.班德勒和S.H.陈(1988)。基于J.W.班德勒和Q.J. Zhang(1987)提出了大规模分解的自动分解概念,提出了一种顺序模型构建方法,该方法可以与强大的l / sub 1 /最优化技术相结合,以建立具有简单拓扑和足够精度的模型。实际的FET模型用于说明配方。给出了一个详细的数值示例,以显示该方法的有效性。

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