• 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