Application of HICUM and TRADICA at JazzSemi - PowerPoint PPT Presentation

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Application of HICUM and TRADICA at JazzSemi

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The HICUM model has been available at Rockwell Conexant Jazz since 1996. In house implementation in Spectre-RF, Eldo, and MDS until 1999. Public domain release in 1999 ... – PowerPoint PPT presentation

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Title: Application of HICUM and TRADICA at JazzSemi


1
Application of HICUM and TRADICA at JazzSemi
  • 2002 BCTM HICUM Users Meeting

2
History
  • The HICUM model has been available at Rockwell ?
    Conexant ? Jazz since 1996
  • In house implementation in Spectre-RF, Eldo, and
    MDS until 1999
  • Public domain release in 1999
  • Build-in model maintained (w. r. t. simulator
    updates) by Cadence.
  • Parameter extraction infrastructure has been
    implemented in Matlab using Spectre-RF and
    TRADICA.
  • TRADICA has been used as HICUM library generation
    and parameter predications.

3
Present Status
  • JazzSemi has become a foundry since March 2002.
  • JazzSemi releases SGPM and HICUM using TRADICA
    and existing infrastructure.
  • JazzSemi has BiCMOS model library for a variety
    of processes
  • BC30 (30 GHz Si BiCMOS on 0.35mm CMOS platform)
  • SiGe60 (70 GHz SiGe BiCMOS on 0.35mm CMOS
    platform)
  • SiGe120 (150 GHz SiGe BiCMOS on 0.18mm CMOS
    platform)

4
SiGe120 Bipolar Library
...
1E1B1C
Emitter length el0.76um
...
...
1E2B1C
...
Emitter Width ew0.2um
digital 2.0V BVceo
. . .
2E3B2C
Emitter Width ew0.6um
NPN Library
LV 3.8V BVceo
...
3E4B2C
Emitter length el10.16
...
...
...
Emitter Width ew0.9um
HV 6V BVceo
4E5B2C
...
1E2B2C
Fully physically scaled, discrete npn model set
5
SGPM and HICUM Model
NPN Model
HICUM
SGP
  • Improved fT fit at high current
  • Improved Early effect modelling
  • BC avalanche
  • Improved temp. model
  • Self heating(off by default)
  • Short simulation time
  • Numerical stable

6
Examples of Verification Plots
  • HICUM is the primary choice when Ic is high and
    VBC is small.
  • Self-heating usually is off and can be turned on
    per request.
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