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Rapid Yield Estimation and Optimization of Microwave Structures Exploiting Feature-Based Statistical Analysis
Abstract
In this paper, we propose a simple, yet reliable methodology to expediteyield estimation and optimization of microwave structures. In our approach,the analysis of the entire response of the structure at hand (e.g., $S$-parameters asa function of frequency) is replaced by response surface modeling of suitablyselected feature points. On the one hand, this is sufficient to determinewhether a design satisfies given performance specifications. On the other,by exploiting the almost linear dependence of the feature points on the designableparameters of the structure, reliable yield estimates can be realized at lowcomputational cost. Our methodology is verified using two examples of waveguidefilters and one microstrip hairpin filter and compared with conventional MonteCarlo analysis based on repetitive electromagnetic simulations, as well aswith statistical analysis exploiting linear response expansions around thenominal design. Finally, we perform yield-driven design optimizations on thesefilters.
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Authors (2)
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John W. Bandler
Cite as
Full text
- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.1109/TMTT.2014.2373365
- License
- Copyright (2014 IEEE)
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Details
- Category:
- Articles
- Type:
- artykuł w czasopiśmie wyróżnionym w JCR
- Published in:
-
IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES
no. 63,
edition 1,
pages 107 - 114,
ISSN: 0018-9480 - Language:
- English
- Publication year:
- 2015
- Bibliographic description:
- Kozieł S., Bandler J.: Rapid Yield Estimation and Optimization of Microwave Structures Exploiting Feature-Based Statistical Analysis// IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES. -Vol. 63, iss. 1 (2015), s.107-114
- DOI:
- Digital Object Identifier (open in new tab) 10.1109/tmtt.2014.2373365
- Verified by:
- Gdańsk University of Technology
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