2015 International Conference on Noise and Fluctuations (ICNF) 2015
DOI: 10.1109/icnf.2015.7288578
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Variability of low frequency noise in moderately-sized MOSFETs — A model for the area- and gate voltage-dependence

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Cited by 5 publications
(10 citation statements)
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“…Studies of statistical LFN variability have focused mainly on area-dependence [13], [18] - [22], while attempts have been made to describe the bias-dependence of noise variability [4], [7], [16]. A simple empirical model relating LFN variability to transconductance-to-current ratio gm/ID [23] has been shown to provide satisfactory results for saturation from weak to strong inversion. However, no physics-based and truly compact model for the bias-dependence of LFN variability in MOSFETs has been proposed so far.…”
Section: Introductionmentioning
confidence: 99%
“…Studies of statistical LFN variability have focused mainly on area-dependence [13], [18] - [22], while attempts have been made to describe the bias-dependence of noise variability [4], [7], [16]. A simple empirical model relating LFN variability to transconductance-to-current ratio gm/ID [23] has been shown to provide satisfactory results for saturation from weak to strong inversion. However, no physics-based and truly compact model for the bias-dependence of LFN variability in MOSFETs has been proposed so far.…”
Section: Introductionmentioning
confidence: 99%
“…1/f noise variability is minimum in high current region whereas it has been shown to be maximized in weak inversion [209,210,211], while increased drain bias also increases noise variability due to the non-uniformity of channel in saturation [207,208]. Our measured data confirm this bias-dependence of 1/f noise variability [28,29]. It is also proved that there is little effect on noise deviation due to current or transconductance dispersion.…”
Section: Low-frequency Noise Variability Modeling In Mosfets 51 Introductionsupporting
confidence: 75%
“…A basic goal of our research was to find a connection between bias conditions and LFN deviation, in other words to create physics-based bias-dependent statistical compact models which will be connected with fundamental physical effects that generate 1/f noise in MOSFETs. This task was successfully accomplished and the result is presented in this Thesis [28,29,30].…”
Section: Thesis Motivation and Structurementioning
confidence: 96%
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