DocumentCode
2885472
Title
Variability of random telegraph noise in analog MOS transistors
Author
Nour, Maha ; Mahmud, M. Iqbal ; Celik-Butler, Zeynep ; Basu, Debdeep ; Shaoping Tang ; Fan-Chi Hou ; Wise, R.
Author_Institution
Electr. Eng. Dept., Univ. of Texas at Arlington, Arlington, TX, USA
fYear
2013
fDate
24-28 June 2013
Firstpage
1
Lastpage
4
Abstract
Random telegraph signals (RTS) are investigated on MOSFETs where a systematic procedure is developed to extract the RTS parameters from a large volume of multi-level switching events with a Poisson distribution. RTS measurements can be utilized to identify and characterize gate oxide defects with better resolution than frequency domain power spectral density, deep level transient spectroscopy, or charge pumping techniques. We demonstrate here multi-level RTS method to investigate gate dielectric trap characteristics including type (acceptor or donor), position of the traps from the of Si/SiO2 interface in the oxide, and along the channel, using the effect of gate bias on the mean carrier capture and emission times, and the number of active traps.
Keywords
MOSFET; Poisson distribution; deep level transient spectroscopy; semiconductor device noise; MOSFET; Poisson distribution; RTS measurements; RTS parameters; Si-SiO2; active traps; analog MOS transistors; charge pumping techniques; deep level transient spectroscopy; emission times; frequency domain power spectral density; gate bias; gate dielectric trap characteristics; gate oxide defects; mean carrier capture; multilevel RTS method; multilevel switching events; random telegraph noise; random telegraph signals; trap position; Electron traps; Logic gates; MOSFET; Noise; Silicon; Switches; Temperature measurement; Analog MOS transistors; Random telegraph signals; gate oxide traps; low-frequency noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Noise and Fluctuations (ICNF), 2013 22nd International Conference on
Conference_Location
Montpellier
Print_ISBN
978-1-4799-0668-0
Type
conf
DOI
10.1109/ICNF.2013.6578978
Filename
6578978
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