Title :
Accurate prediction of substrate parasitics in heavily doped CMOS processes using a calibrated boundary element solver
Author :
Sharma, Ajit ; Birrer, Patrick ; Arunachalam, Sasi Kumar ; Xu, Chenggang ; Fiez, Terri S. ; Mayaram, Kartikeya
Author_Institution :
Oregon State Univ., Corvallis, OR, USA
fDate :
7/1/2005 12:00:00 AM
Abstract :
This paper presents an automated methodology for calibrating the doping profile and accurately predicting substrate parasitics with boundary element solvers. The technique requires fabrication of only a few test structures and results in an accurate three-layered approximation of a heavily doped epitaxial silicon substrate. Using this approximation, the extracted substrate resistances are accurate to within 10% of measurements. The calibrated parasitic extractor results in good agreement between simulations and measurements for substrate noise coupling in fabricated test circuits.
Keywords :
CMOS integrated circuits; boundary-elements methods; doping profiles; integrated circuit noise; semiconductor doping; silicon; substrates; Green function; Si; accurate three-layered approximation; automatic doping profile calibration; calibrated boundary element solver; heavily doped CMOS processes; heavily doped epitaxial silicon substrate; integrated circuit noise; substrate noise coupling; substrate parasitic prediction; substrate resistance extraction; CMOS process; Circuit noise; Circuit simulation; Circuit testing; Doping profiles; Electrical resistance measurement; Fabrication; Noise measurement; Silicon; Substrates; Boundary element solver; Green´s function; integrated circuit noise; substrate noise coupling; substrate parasitic extraction;
Journal_Title :
Very Large Scale Integration (VLSI) Systems, IEEE Transactions on
DOI :
10.1109/TVLSI.2005.850106