Advanced search
1 file | 1.08 MB

Parametric macromodeling of lossy and dispersive multiconductor transmission lines

Francesco Ferranti (UGent) , G. Antonini, Tom Dhaene (UGent) and Luc Knockaert (UGent)
Author
Organization
Abstract
We propose an innovative parametric macromodeling technique for lossy and dispersive multiconductor transmission lines (MTLs) that can be used for interconnect modeling. It is based on a recently developed method for the analysis of lossy and dispersive MTLs extended by using the multivariate orthonormal vector fitting (MOVF) technique to build parametric macromodels in a rational form. They take into account design parameters, such as geometrical layout or substrate features, in addition to frequency. The presented technique is suited to generate state-space models and synthesize equivalent circuits, which can be easily embedded into conventional SPICE-like solvers. Parametric macromodels allow to perform design space exploration, design optimization, and sensitivity analysis efficiently. Numerical examples validate the proposed approach in both frequency and time domain.
Keywords
FREQUENCY-DOMAIN RESPONSES, INTEGRATED CONGRUENCE TRANSFORM, transient analysis, rational approximation, parametric macromodeling, Interconnects, HIGH-SPEED INTERCONNECTS, MODEL ORDER REDUCTION, TRANSIENT ANALYSIS, RATIONAL APPROXIMATION, PASSIVE MACROMODELS, SIMULATION, NETWORKS, ALGORITHM

Downloads

  • 4401 i.pdf
    • full text
    • |
    • open access
    • |
    • PDF
    • |
    • 1.08 MB

Citation

Please use this url to cite or link to this publication:

Chicago
Ferranti, Francesco, G. Antonini, Tom Dhaene, and Luc Knockaert. 2010. “Parametric Macromodeling of Lossy and Dispersive Multiconductor Transmission Lines.” Ieee Transactions on Advanced Packaging 33 (2): 481–491.
APA
Ferranti, F., Antonini, G., Dhaene, T., & Knockaert, L. (2010). Parametric macromodeling of lossy and dispersive multiconductor transmission lines. IEEE TRANSACTIONS ON ADVANCED PACKAGING, 33(2), 481–491.
Vancouver
1.
Ferranti F, Antonini G, Dhaene T, Knockaert L. Parametric macromodeling of lossy and dispersive multiconductor transmission lines. IEEE TRANSACTIONS ON ADVANCED PACKAGING. 2010;33(2):481–91.
MLA
Ferranti, Francesco, G. Antonini, Tom Dhaene, et al. “Parametric Macromodeling of Lossy and Dispersive Multiconductor Transmission Lines.” IEEE TRANSACTIONS ON ADVANCED PACKAGING 33.2 (2010): 481–491. Print.
@article{1140698,
  abstract     = {We propose an innovative parametric macromodeling technique for lossy and dispersive multiconductor transmission lines (MTLs) that can be used for interconnect modeling. It is based on a recently developed method for the analysis of lossy and dispersive MTLs extended by using the multivariate orthonormal vector fitting (MOVF) technique to build parametric macromodels in a rational form. They take into account design parameters, such as geometrical layout or substrate features, in addition to frequency. The presented technique is suited to generate state-space models and synthesize equivalent circuits, which can be easily embedded into conventional SPICE-like solvers. Parametric macromodels allow to perform design space exploration, design optimization, and sensitivity analysis efficiently. Numerical examples validate the proposed approach in both frequency and time domain.},
  author       = {Ferranti, Francesco and Antonini, G. and Dhaene, Tom and Knockaert, Luc},
  issn         = {1521-3323},
  journal      = {IEEE TRANSACTIONS ON ADVANCED PACKAGING},
  keyword      = {FREQUENCY-DOMAIN RESPONSES,INTEGRATED CONGRUENCE TRANSFORM,transient analysis,rational approximation,parametric macromodeling,Interconnects,HIGH-SPEED INTERCONNECTS,MODEL ORDER REDUCTION,TRANSIENT ANALYSIS,RATIONAL APPROXIMATION,PASSIVE MACROMODELS,SIMULATION,NETWORKS,ALGORITHM},
  language     = {eng},
  number       = {2},
  pages        = {481--491},
  title        = {Parametric macromodeling of lossy and dispersive multiconductor transmission lines},
  url          = {http://dx.doi.org/10.1109/TADVP.2009.2027892},
  volume       = {33},
  year         = {2010},
}

Altmetric
View in Altmetric
Web of Science
Times cited: