DocumentCode :
2130494
Title :
Statistical Large-Signal Model Enabling Yield Optimization in High-Power Amplifier Design
Author :
Stiebler, Wolfram ; Kolias, Patricia ; Sanctuary, Jay
Author_Institution :
Raytheon RF Components, Andover
fYear :
2007
fDate :
14-17 Oct. 2007
Firstpage :
1
Lastpage :
4
Abstract :
A statistical large-signal model is presented that allows for optimizing yield of high-power amplifier MMICs. The modeling technique is based on the transformation of process control data into modeling parameters of an empirical, compact large-signal device model, followed by a multi-variant statistical analysis, resulting in a full set of principal components for both the current and the charge model. The model component has been implemented into ADS (Agilent) and an automated software periodically updates the statistical model parameters.
Keywords :
HEMT integrated circuits; MMIC power amplifiers; integrated circuit design; principal component analysis; Agilent; MMIC; high-power amplifier design; multivariant statistical analysis; process control data; statistical large-signal model; Design optimization; High power amplifiers; MMICs; Phase change materials; Principal component analysis; Process control; Radio frequency; Radiofrequency amplifiers; Robustness; Statistical analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Compound Semiconductor Integrated Circuit Symposium, 2007. CSIC 2007. IEEE
Conference_Location :
Portland, OR
Print_ISBN :
978-1-4244-1022-4
Type :
conf
DOI :
10.1109/CSICS07.2007.25
Filename :
4384405
Link To Document :
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