Statistical extraction and modeling of inductance considering spatial correlation

dc.creatorESTEBAN TLELO CUAUTLE
dc.date2012-10
dc.date.accessioned2023-07-25T16:24:59Z
dc.date.available2023-07-25T16:24:59Z
dc.identifierhttp://inaoe.repositorioinstitucional.mx/jspui/handle/1009/2117
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7807298
dc.descriptionIn this paper, we present a novel method forstatistical inductance extraction and modeling for interconnects considering process variations. The new method, called statHenry, is based on the collocation-based spectrals tochastic method where orthogonal polynomials are used to represent the statistical processes. The coefficients of thepartial inductance orthogonal polynomial are computed viathe collocation method where a fast multi-dimensional Gaussian quadrature method is applied with sparse grids. To further improve the efficiency of the proposed method,a random variable reduction scheme is used. Given the interconnect wire variation parameters, the resulting method can derive the parameterized closed form of the inductance value. We show that both partial and loop inductance variations can be significant given the width and height variations. This new approach can work withany existing inductance extraction tool to extract the variational partial and loop inductance or impedance. Experimental results show that our method is orders of magnitude faster than the Monte Carlo method for several practical interconnect structures.
dc.formatapplication/pdf
dc.languageeng
dc.publisherAnalog Integrated Circuits and Signal Processing
dc.relationcitation:Hao, Zhigang, et al., (2012), Statistical extraction and modeling of inductance considering spatial correlation, Analog Integrated Circuits and Signal Processing, Vol. 73(1):1–12
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.subjectinfo:eu-repo/classification/Inspec/Inductance extraction
dc.subjectinfo:eu-repo/classification/Inspec/Statistical
dc.subjectinfo:eu-repo/classification/Inspec/Spatial correlation
dc.subjectinfo:eu-repo/classification/Inspec/Process variation
dc.subjectinfo:eu-repo/classification/cti/1
dc.subjectinfo:eu-repo/classification/cti/22
dc.subjectinfo:eu-repo/classification/cti/2203
dc.subjectinfo:eu-repo/classification/cti/2203
dc.titleStatistical extraction and modeling of inductance considering spatial correlation
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/acceptedVersion
dc.audiencestudents
dc.audienceresearchers
dc.audiencegeneralPublic


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