DocumentCode :
3175978
Title :
Statistical SPICE analysis of a 0.18 μm CMOS digital/analog technology during process development
Author :
Rankin, Neil S. ; Ng, Chun ; Ee, Learig Sem ; Boyland, Frank ; Quek, Elgin ; Keung, Leung Ying ; Walton, Anthony J. ; Redford, Mark
Author_Institution :
Scottish Microelectron. Centre, Edinburgh Univ., UK
fYear :
2001
fDate :
2001
Firstpage :
19
Lastpage :
23
Abstract :
This paper gives details of a methodology to extract statistical SPICE models on a developing deep sub micron CMOS technology. The approach uses a TCAD framework which integrates process, device, parameter extraction, and statistics software. The TCAD tools are calibrated by physical and electrical measurements on transistor test structures with different channel lengths. Once calibrated, a Monte Carlo experiment is run on all process control input parameters with realistic variations and the results then compared to in-line and E-test distributions. When satisfied that the variance in TCAD and measured distributions match, the framework can be used to extract BSIM3v3.2 parameters to generate statistical models. Multivariate statistics is used to determine the key process parameters which need to be controlled in-line to minimize device variation. This methodology is demonstrated using Chartered Semiconductor Manufacturing Ltd´s 0.18 μm CMOS core logic technology
Keywords :
CMOS integrated circuits; Monte Carlo methods; SPICE; integrated circuit measurement; integrated circuit modelling; mixed analogue-digital integrated circuits; process control; production testing; semiconductor process modelling; statistical analysis; technology CAD (electronics); 0.18 micron; BSIM3v3.2 parameter extraction; CMOS core logic technology; CMOS digital/analog technology; CMOS technology; E-test distributions; Monte Carlo experiment; TCAD framework; TCAD tool calibration; TCAD tools; TCAD/measured distribution variance; channel length; device software; device variation minimization; electrical measurements; in-line test distributions; multivariate statistics; parameter extraction software; physical measurements; process control input parameters; process development; process parameters; process statistics software; software integration; statistical SPICE analysis; statistical SPICE models; statistical models; statistics software; transistor test structures; CMOS technology; Electric variables measurement; Length measurement; Monte Carlo methods; Parameter extraction; Process control; SPICE; Semiconductor device modeling; Statistical distributions; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Microelectronic Test Structures, 2001. ICMTS 2001. Proceedings of the 2001 International Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-6511-9
Type :
conf
DOI :
10.1109/ICMTS.2001.928631
Filename :
928631
Link To Document :
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