DocumentCode :
1219330
Title :
Simple and accurate extraction methodology for RF MOSFET valid up to 20 GHz
Author :
Tong, A.F. ; Yeo, K.S. ; Jia, L. ; Geng, C.Q. ; Ma, J.-G. ; Do, M.A.
Author_Institution :
Adv. RFIC (S) Pte. Ltd., Singapore
Volume :
151
Issue :
6
fYear :
2004
Firstpage :
587
Lastpage :
592
Abstract :
An accurate and simple parameter extraction technique for deep submicron MOSFETs using a conventional MOSFET model with three terminal resistances for the gate, source and drain, as well as a simple substrate coupling network and a non-reciprocal capacitor is proposed. This extraction technique utilises both Z and Y parameter analysis on the proposed small-signal equivalent circuit. RF simulation is carried out using the BSIM4 DC core model with the extracted extrinsic components. Analytical equations are derived for all the RF parameters and a linear regression technique is used to extract the parameters. Transcapacitance is utilised in the model to ensure charge conservation and good fitting of the Y21 and Y12 parameters. The extracted and optimised RF parameter values are in close agreement, which implies that little or no optimisation is required using this technique. Hence, this extraction methodology can be implemented easily for RF MOSFET modelling. Excellent agreement has been obtained between the simulated and measured results up to 20 GHz.
Keywords :
MOSFET; capacitors; equivalent circuits; microwave field effect transistors; regression analysis; semiconductor device models; BSIM4 DC core model; MOSFET model; RF MOSFET; RF parameters; RF simulation; analytical equations; charge conservation; deep submicron MOSFET; drain; gate; linear regression technique; nonreciprocal capacitor; parameter analysis; parameter extraction technique; small-signal equivalent circuit; source; substrate coupling network; terminal resistances; transcapacitance;
fLanguage :
English
Journal_Title :
Circuits, Devices and Systems, IEE Proceedings -
Publisher :
iet
ISSN :
1350-2409
Type :
jour
DOI :
10.1049/ip-cds:20040778
Filename :
1387807
Link To Document :
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