DocumentCode :
1811216
Title :
An efficient parameter extraction method using statistical optimization in S-CMOS deep-submicron/nanometer model
Author :
Park, Yoondong ; Jen, Steve H. ; Sheu, Bing ; Yoon, Heesook ; Kim, In Gyeom
Author_Institution :
NEC Electron. Inc., Santa Clara, CA, USA
Volume :
5
fYear :
2002
fDate :
2002
Abstract :
An efficient MOSFET modeling methodology with statistical optimization has been introduced to facilitate advanced mixed-signal circuit design. Based on the properties of the S- CMOS model, a combination of local optimization and the group-device extraction strategy is adopted for parameter extraction. By using the statistical method with an Excel solver, a very accurate parameter extraction procedure was developed for the S-CMOS model and was implemented with the optimization software. An accurate parameter set is extracted in accordance with the measurement data of TSMC 0.35-μm technology from MOSIS Service with the LMEE method. The S-CMOS model was implemented into a SPICE3f3 simulator. Several analog and digital circuits were simulated using the popular BSIM3v3 and compared with the S-CMOS model.
Keywords :
CMOS integrated circuits; SPICE; circuit optimisation; circuit simulation; integrated circuit design; integrated circuit modelling; mixed analogue-digital integrated circuits; parameter estimation; 0.35 micron; BSIM3v3; Excel solver; LMEE method; MOSFET modeling; MOSIS Service; S-CMOS deep-submicron/nanometer model; SPICE3f3 simulator; TSMC 0.35-μm technology; accurate parameter set extraction; group-device extraction strategy; local optimization; mixed-signal circuit design; optimization software; parameter extraction method; statistical optimization; Circuit simulation; Circuit synthesis; Data mining; Design optimization; Digital circuits; MOSFET circuits; Optimization methods; Parameter extraction; Semiconductor device modeling; Statistical analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2002. ISCAS 2002. IEEE International Symposium on
Print_ISBN :
0-7803-7448-7
Type :
conf
DOI :
10.1109/ISCAS.2002.1010683
Filename :
1010683
Link To Document :
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