DocumentCode :
3193194
Title :
Statistical Models and Frequency-Dependent Corner Models for Passive Devices
Author :
Lu, Ning
Author_Institution :
IBM Semicond. R&D Center, Essex Junction
fYear :
2008
fDate :
17-19 March 2008
Firstpage :
543
Lastpage :
548
Abstract :
We present the statistical SPICE models and associated corner models of passive devices (such as capacitors and resistors) in VLSI semiconductor technologies. The capacitor devices include decoupling capacitors, metal- insulator-metal capacitors (MIMCAPs), junction capacitors, MOS varactors, BEOL metal capacitors, etc. The resistor devices include diffused resistors, silicide blocked polysilicon resistors, BEOL resistors, etc. We present correct statistical models and optimal corner models, and discuss the correctness and goodness of various statistical models and corner models. We explicitly show the dependency of the corner model parameters on the device length/width. For a fixed device length and width, for the first time, we show the dependency of the corner model parameters on the frequency, and show that the skewing direction of some corner model parameters will change their signs when going from the low frequency region to the high frequency/RF region.
Keywords :
SPICE; VLSI; capacitors; integrated circuit design; integrated circuit modelling; resistors; statistical analysis; VLSI semiconductor technologies; capacitor devices; frequency-dependent corner models; passive devices; resistor devices; skewing direction; statistical SPICE models; Capacitance measurement; Circuit simulation; Circuit synthesis; Electric resistance; MOS capacitors; Measurement standards; Radio frequency; Resistors; SPICE; Very large scale integration; RF models; SPICE models; corner models; passive devices; statistical models;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Quality Electronic Design, 2008. ISQED 2008. 9th International Symposium on
Conference_Location :
San Jose, CA
Print_ISBN :
978-0-7695-3117-5
Type :
conf
DOI :
10.1109/ISQED.2008.4479793
Filename :
4479793
Link To Document :
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