Computationally efficient substrate noise coupling estimation in lightly doped silicon substrates

dc.contributor	Fiez, Terri
dc.contributor	Mayaram, Kartikeya
dc.contributor	Weisshaar, Andreas
dc.date	2006-10-17T21:53:23Z
dc.date	2006-10-17T21:53:23Z
dc.date	2006-09-22
dc.date	2006-10-17T21:53:23Z
dc.date.accessioned	2013-10-16T07:40:53Z
dc.date.available	2013-10-16T07:40:53Z
dc.date.issued	2013-10-16
dc.identifier	http://hdl.handle.net/1957/3164
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1957/3164
dc.description	Graduation date: 2007
dc.description	A Z-parameter based macromodel for characterizing the substrate noise coupling in a lightly doped substrate at low frequencies has been developed. The model is scalable with contact geometries and separation. The cross-coupling impedance between two contacts is modeled using an improved geometric mean distance formulation. This approach obviates the need for using several spacing related parameters for describing the contact separations, sizes, and orientation. An improved self-impedance model has also been developed. Proximity effects of neighboring contacts are taken into account by a paneling approach. The macromodel with paneling has been successfully used to predict the noise coupling for multi-contact examples. The errors from the macromodel relative to a numerical simulator are within acceptable limits of 15%.
dc.language	en_US
dc.subject	substrate noise
dc.subject	macromodel
dc.subject	lightly doped substrate
dc.title	Computationally efficient substrate noise coupling estimation in lightly doped silicon substrates
dc.type	Thesis

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