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An efficient parameter extraction method using statistical optimization in S-CMOS deep-submicron/nanometer model

  • Yoondong Park
  • , Steve H. Jen
  • , Bing Sheu
  • , Heesook Yoon
  • , In Gyeom Kim
  • Renesas Electronics Corporation
  • Atheros Communications
  • Nassda Corporation
  • Intel

Research output: Contribution to journalJournal Article peer-review

Abstract

An efficient MOSFET modeling methodology with statistical optimization has been introduced to facilitate advanced mixed-signal circuit design. Based on the properties of the S-CMOS model, a combination of local optimization and the group-device extraction strategy is adopted for parameter extraction. By using the statistical method with Excel solver, very accurate parameter extraction procedure was developed for the S-CMOS model and was implemented with the optimization software. An accurate parameter set is extracted in accordance with the measurement data of TSMC 0.35-μm technology from MOSIS Service with LMEE method. The S-CMOS model was implemented into SPICE3f3 simulator. Several analog and digital circuits were simulated using popular BSIM3v3 and compared with S-CMOS model.

Original languageEnglish
Pages (from-to)V/233-V/236
JournalProceedings - IEEE International Symposium on Circuits and Systems
Volume5
DOIs
StatePublished - 2002
Externally publishedYes

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