2009 IEEE International Symposium on Electromagnetic Compatibility 2009
DOI: 10.1109/isemc.2009.5284676
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Parameterized models for crosstalk analysis in high-speed interconnects

Abstract: Abstract-We present a new parametric macromodeling technique for lossy and dispersive multiconductor transmission lines (MTLs), that is suitable to interconnect modeling. It is based on a recently introduced spectral approach for the analysis of lossy and dispersive MTLs extended by utilizing the Multivariate Orthonormal Vector Fitting (MOVF) technique to build parametric macromodels in a rational form. They can handle design parameters, such as substrate or geometrical layout features, in addition to frequenc… Show more

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Cited by 4 publications
(5 citation statements)
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“…parameters with the Green's function, which is used to expand the solution of the Sturm-Liouville problem, allows us to compute the poles and residues of the impedance matrix independently for each mode, reducing the complexity of the system identification significantly. In fact, the technique described in [3] and [4] first builds parametric macromodels for the p.u.l. parameters or for the modal impedance, using the multivariate orthonormal vector fitting technique [17], and then it combines the initial macromodels according to (4) to obtain the desired macromodel for the impedance matrix Z(s, g) in the entire design space.…”
Section: Parametric Macromodeling Of Mtlsmentioning
confidence: 99%
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“…parameters with the Green's function, which is used to expand the solution of the Sturm-Liouville problem, allows us to compute the poles and residues of the impedance matrix independently for each mode, reducing the complexity of the system identification significantly. In fact, the technique described in [3] and [4] first builds parametric macromodels for the p.u.l. parameters or for the modal impedance, using the multivariate orthonormal vector fitting technique [17], and then it combines the initial macromodels according to (4) to obtain the desired macromodel for the impedance matrix Z(s, g) in the entire design space.…”
Section: Parametric Macromodeling Of Mtlsmentioning
confidence: 99%
“…In fact, the technique described in [3] and [4] first builds parametric macromodels for the p.u.l. parameters or for the modal impedance, using the multivariate orthonormal vector fitting technique [17], and then it combines the initial macromodels according to (4) to obtain the desired macromodel for the impedance matrix Z(s, g) in the entire design space. Our goal, however, it is to build a parametric macromodel also for the Z(s, g) matrix, to be able to perform a parametric sensitivity analysis.…”
Section: Parametric Macromodeling Of Mtlsmentioning
confidence: 99%
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“…The order of the spectral model is set to n modes = 60. The algorithm to choose the number of modes is described in [23]. Fig.…”
Section: Numerical Examplementioning
confidence: 99%