DocumentCode :
171050
Title :
Feature-based statistical analysis for rapid yield estimation of microwave structures
Author :
Koziel, Slawomir ; Bandler, John W.
Author_Institution :
Sch. of Sci. & Eng., Reykjavik Univ., Reykjavik, Iceland
fYear :
2014
fDate :
1-6 June 2014
Firstpage :
1
Lastpage :
3
Abstract :
A technique for rapid yield estimation of microwave structures is proposed. Instead of analyzing the entire response of the structure of interest, only the set of suitably selected feature points is being modeled and utilized to determine whether the response satisfies or violates given performance specifications. By exploiting the almost linear dependence of the feature points on the designable parameters, reliable yield estimation can be realized at low computational cost. Verification using conventional Monte Carlo analysis based on repetitive EM simulations is also provided.
Keywords :
Monte Carlo methods; estimation theory; microwave filters; statistical analysis; EM simulations; Monte Carlo analysis; designable parameters; feature-based statistical analysis; linear dependence; low computational cost; microwave structures; performance specifications; rapid yield estimation; selected feature points; Microwave FETs; Vectors; Yield estimation; electromagnetic modeling; statistical analysis; tolerance-aware design;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Microwave Symposium (IMS), 2014 IEEE MTT-S International
Conference_Location :
Tampa, FL
Type :
conf
DOI :
10.1109/MWSYM.2014.6848315
Filename :
6848315
Link To Document :
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