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Parasitic modeling and noise mitigation in advanced RF/mixed-signal silicon germanium processes

  • Raminderpal Singh
  • , Youri V. Tretiakov
  • , Jeffrey B. Johnson
  • , Susan L. Sweeney
  • , Robert L. Barry
  • , Mukesh Kumar
  • , Mete Erturk
  • , John Katzenstein
  • , Carl E. Dickey
  • , David L. Harame
  • IBM

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

The potential for highly integrated radio frequency (RF) and mixed-signal (AMS) designs is today very real with the availability cost-effective scaled silicon-germanium (SiGe) process technologies. However, the lack of effective parasitic modeling and noise mitigation significantly restrict opportunities for integration, due to a lack of computer-aided design solutions and practical guidance for designers. This tutorial paper provides a broad in-depth coverage of the key technical areas that designers need to understand in estimating and mitigating IC parasitic effects. A detailed analysis of the parasitic effects in passive devices, the interconnect (including transmission line modeling) and substrate impedance, and isolation estimation is presented-referencing a large number of key publications in these areas.

Original languageEnglish
Pages (from-to)700-717
Number of pages18
JournalIEEE Transactions on Electron Devices
Volume50
Issue number3
DOIs
StatePublished - Mar 2003

Keywords

  • Computer-aided design (CAD)
  • Integrated circuit (IC)
  • Interconnect
  • Modeling
  • Noise mitigation
  • Parasitic noise
  • Radio frequency (RF)
  • Silicon germanium
  • Substrate
  • Transmission lines

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