Title :
A predictive methodology for accurate substrate parasitic extraction
Author :
Sharma, Ajit ; Xu, Chenggang ; Chu, Wen Kung ; Verghese, Nishath K. ; Fiez, Terri S. ; Mayaram, Kartikeya
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Oregon State Univ., Corvallis, OR, USA
Abstract :
A methodology for determining the substrate profile for accurate prediction of parasitics using Green´s function based substrate extractors is presented. The technique requires fabrication of only a few test structures and results in an accurate three layered approximation. The substrate resistances are accurate to within 10% measurements. This methodology can be used along with scalable macromodel for a qualitative pre-design and pre-layout estimation of the digital switching noise that couples though the substrate to sensitive analog/RF circuits.
Keywords :
Green´s function methods; calibration; circuit optimisation; integrated circuit measurement; integrated circuit modelling; integrated circuit noise; substrates; Green function; RF circuits; analog circuits; digital switching noise; predesign automation; predictive methodology; prelayout estimation; scalable macromodel; substrate extractors; substrate parasitic extraction; substrate profile; substrate resistances; test structures; Calibration; Circuit noise; Contracts; Coupling circuits; Electrical resistance measurement; Fabrication; Integrated circuit noise; Optimization methods; Radio frequency; Testing;
Conference_Titel :
Circuits and Systems, 2004. ISCAS '04. Proceedings of the 2004 International Symposium on
Print_ISBN :
0-7803-8251-X
DOI :
10.1109/ISCAS.2004.1329484