DocumentCode :
3094528
Title :
Accurate substrate noise analysis based on library module characterization
Author :
Reddy, Subodh M. ; Murgai, Rajeev
Author_Institution :
Fujitsu Labs. of America, Inc., Sunnyvale, CA, USA
fYear :
2006
fDate :
3-7 Jan. 2006
Abstract :
As the design complexity increases, a detailed SPICE model cannot be used to study substrate noise injected by the digital logic into the analog circuit in a mixed-signal system. Hence a reduced yet accurate model is needed. Previous work shows that the current drawn by the digital circuit from the power supply has a big impact on the substrate noise and therefore must be modeled accurately in the reduced model. In this paper, we propose an accurate current modeling technique based on pre-characterizing library modules for the current drawn from the power supply as a function of time, load capacitance, input transitions and slews. This technique is then embedded in both pattern-dependent (PDM) and pattern-independent (PIM) substrate noise analysis methodologies. Results on several gate-level benchmarks show that the proposed scheme is, on average, within 4.5% of the detailed BSIM3-based model for PDM and within 12% for PIM. In contrast, the previously proposed scheme of (Murgai et al., 2004) has an average discrepancy of 176% with the detailed model for PIM.
Keywords :
SPICE; integrated circuit modelling; integrated circuit noise; mixed analogue-digital integrated circuits; BSIM3-based model; SPICE model; analog circuit; current modeling technique; digital logic; gate-level benchmarks; library module characterization; mixed-signal system; pattern-dependent substrate noise analysis; pattern-independent substrate noise analysis; power supply; Analog circuits; Circuit noise; Digital circuits; Logic circuits; Logic design; Noise reduction; Power supplies; Power system modeling; SPICE; Software libraries;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
VLSI Design, 2006. Held jointly with 5th International Conference on Embedded Systems and Design., 19th International Conference on
ISSN :
1063-9667
Print_ISBN :
0-7695-2502-4
Type :
conf
DOI :
10.1109/VLSID.2006.30
Filename :
1581477
Link To Document :
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