DocumentCode
2176261
Title
On the efficient reduction of complete EM based parametric models
Author
Villena, Jorge Fernández ; Ciuprina, Gabriela ; Ioan, Daniel ; Silveira, Luis Miguel
Author_Institution
INESC ID/IST, Tech. Univ. Lisbon, Lisbon
fYear
2009
fDate
20-24 April 2009
Firstpage
1172
Lastpage
1177
Abstract
Due to higher integration and increasing frequency based effects, full electromagnetic models (EM) are needed for accurate prediction of the real behavior of integrated passives and interconnects. Furthermore, these structures are subject to parametric effects due to small variations of the geometric and physical properties of the inherent materials and manufacturing process. Accuracy requirements lead to huge models, which are expensive to simulate and this cost is increased when parameters and their effects are taken into account. This paper presents a complete procedure for efficient reduction of realistic, hierarchy aware, EM based parametric models. Knowledge of the structure of the problem is explicitly exploited using domain partitioning and novel electromagnetic connector modeling techniques to generate a hierarchical representation. This enables the efficient use of block parametric model order reduction techniques to generate block-wise compressed models that satisfy overall requirements, and provide accurate approximations of the complete EM behaviour, which are cheap to evaluate and simulate.
Keywords
electric connectors; electromagnetic coupling; interconnections; EM based parametric models; block-wise compressed model; electromagnetic connector modeling techniques; electromagnetic field coupling; electromagnetic models; manufacturing process; Connectors; Electromagnetic coupling; Electromagnetic modeling; Integrated circuit modeling; Mathematical model; Maxwell equations; Parametric statistics; Predictive models; Process design; Radio frequency;
fLanguage
English
Publisher
ieee
Conference_Titel
Design, Automation & Test in Europe Conference & Exhibition, 2009. DATE '09.
Conference_Location
Nice
ISSN
1530-1591
Print_ISBN
978-1-4244-3781-8
Type
conf
DOI
10.1109/DATE.2009.5090840
Filename
5090840
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