DocumentCode :
2240806
Title :
Characterization of MOS varactor with large signal Network Analyser (LSNA) in CMOS 65nm bulk and SOI technologies
Author :
Morandini, Y. ; Ducateau, Damien ; Larchanche, Jean-François ; Gaquière, Christophe ; Gloria, Daniel
Author_Institution :
STMicroelectronics, Crolles, France
fYear :
2007
fDate :
8-8 June 2007
Firstpage :
1
Lastpage :
4
Abstract :
Here we report for the first time the non linear characterization and modeling of MOS varactor with a LSNA in bulk and SOI process. The comparison between large signal measurements and Harmonic Balance simulation using an electrical equivalent scheme based on small signal measurements validates the accuracy of the proposed model in this large signal conditions. Nevertheless, the capacitance behaviour versus biasing voltage is depending on signal power. From this, we develop a method for capacitance extraction. We highlight the difference of LSNA and small signal capacitance versus voltage revealing the deepth depletion with large signal conditions. Lastly, the parallel study between bulk and SOI process shows a difference on the capacitance induced by non linearities of the substrate capacitance with large signal analysis.
Keywords :
CMOS integrated circuits; MIS devices; network analysers; silicon-on-insulator; varactors; CMOS; Harmonic Balance simulation; MOS varactor; SOI technologies; bulk technologies; electrical equivalent scheme; large signal analysis; large signal measurements; large signal network analyser; size 65 nm; small signal measurements; CMOS process; CMOS technology; Current measurement; Diodes; Electric variables measurement; Integrated circuit interconnections; Parasitic capacitance; Signal analysis; Varactors; Voltage; High Frequency (HF) characterization; Large Signal Network (LSNA) Analyser; MOS varactor; SOI; large signal; non linearity; small signal;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
ARFTG Conference, 2007 69th
Conference_Location :
Honolulu, HI
Print_ISBN :
978-0-7803-9762-0
Electronic_ISBN :
978-0-7803-9763-7
Type :
conf
DOI :
10.1109/ARFTG.2007.5456328
Filename :
5456328
Link To Document :
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