Agilent EEsof EDA Overview on Constrained EM-based Modeling of Passive Components

PublishTime：2022-05-06

●Abstract - An adaptive algorithm is developed for constrained modeling of general passive components. The algorithm builds compact, multidimensional, analytical circuit models and represents the scattering parameters of the passive components as a function of its geometrical parameters and as a function of the frequency. Multiple constraints, or relationships between the geometrical parameters, may exist. The model generation algorithm combines iterative sampling and modeling techniques. It groups a number of full-wave electromagnetic (EM) simulations in one multidimensional analytic model. The modeling accuracy level is user-defined. The analytical circuit models can easily be implemented and used in commercial circuit simulators. The models provide EM- accuracy and generality at traditional circuit simulation speed.
●INTRODUCTION
■Accurate models for arbitrary pW/RF components are very important for the design of high-speed electronic circuits. Several numerical EM analysis techniques can be used to accurately model passive components. However, most numerical EM techniques require a significant amount of expertise and computer resources, and are often only used for verification purposes. On the other hand circuit simulators are very fast, and offer a lot of different analysis possibilities (e.g. optimization, parameter sweeps, tuning). However, the number of available high-frequency models in circuit simulators is limited, and the accuracy is not always guaranteed up to high frequencies.

Brand of Product：	Keysight
Part#：
Product Category：	Passive Components More
Application：	More
Data Type：	Technical Documentation More
Safety & Environment Standards：	More
Operating Temperature：	Please see the document for details
Qualification Grade：	More
Qualification Approval：	More
Package：
Language：	English Chinese Chinese and English Japanese
Date of Creation：	June 01,2001
Version Number：
Data Encoding：	5989-9988EN
Data Size：	442 KB

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