DocumentCode
2862616
Title
Statistical analysis and yield optimization in practical RF and microwave designs
Author
Biernacki, Radek ; Chen, Steve ; Estep, George ; Rousset, Jean ; Sifri, Jack
Author_Institution
Agilent Technologies, Inc., 1400 Fountaingrove Pkwy, Santa Rosa, CA 95403, USA
fYear
2012
fDate
17-22 June 2012
Firstpage
1
Lastpage
3
Abstract
This presentation provides a historical perspective of the advances in statistical design methodologies for microwave design tools. We focus on some of the early efforts by John Bandler to turn his research advances into practical results. We describe the formulation of the yield optimization problem, in particular the powerful one-sided ℓ1 objective function. We discuss modeling requirements to properly account for statistical variations in IC manufacturing. We also describe applications of yield sensitivities and design of experiments (DOE) as well as a recent technique for fast CMOS mismatch analysis.
Keywords
Integrated circuit modeling; Manufacturing; Microwave circuits; Monte Carlo methods; Optimization; Semiconductor device modeling; CADCAM; Design methodology; Monte Carlo methods; design for manufacture; design optimization; microwave theory and techniques; statistical analysis; yield estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Microwave Symposium Digest (MTT), 2012 IEEE MTT-S International
Conference_Location
Montreal, QC, Canada
ISSN
0149-645X
Print_ISBN
978-1-4673-1085-7
Electronic_ISBN
0149-645X
Type
conf
DOI
10.1109/MWSYM.2012.6259360
Filename
6259360
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