An Objective Function Formulation for Circuit Parameter Extraction Based on the Kullback-Leibler Distance
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Fecha
2020-06
Autores
Loera-Díaz, Roberto
Rayas-Sánchez, José E.
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Editor
IEEE
Resumen
Descripción
Numerical circuit parameter extraction is widely used for modeling many kinds of high-frequency structures. In particular, parameter extraction can be used to find the optimal parameter values of an equivalent circuit model to match as close as possible a given target response. This paper presents a novel objective function formulation for parameter extraction based on the Kullback-Leibler distance. A rigorous graphical and numerical comparison of the proposed new formulation against classical l-th norm formulations is included. One- and two-dimensional synthetic examples are used to illustrate the advantages of the proposed Kullback-Leibler distance formulation. Our results indicate that the proposed new formulation yields similar or better-behaved parameter extraction objective functions than those obtained from l-th norm formulations.
Palabras clave
Chebyshev, Entropy, Euclidean, Kullback-Leibler, Parameter Extraction, l-th norm, Shannon Information Theory, Optimization
Citación
R. Loera-Díaz and J. E. Rayas-Sánchez, An objective function formulation for circuit parameter extraction based on the Kullback-Leibler distance, in IEEE MTT-S Int. Microwave Symp. Dig., Los Angeles, CA, Jun. 2020, pp. 80-82. (ISSN: 0149-645X; ISSN-e: 2576-7216; ISBN: 978-1-7281-6816-6; e-ISBN: 978-1-7281-6815-9; DOI: 10.1109/IMS30576.2020.9224002