Abstract
Efficient real-time design space exploration, design optimization and sensitivity analysis call for Parameterized Model Order Reduction (PMOR) techniques to take into account several design parameters, such as geometrical layout or substrate characteristics, in addition to time or frequency. This chapter presents a robust multivariate extension of the z-domain Orthonormal Vector Fitting technique. The new method provides accurate and compact rational parametric macromodels based on numerical electromagnetic simulations or measurements in either frequency-domain or time-domain. The technique can be seen as a data-driven PMOR method.
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Momentum EEsof EDA, Agilent Technologies, Santa Rosa, CA.
References
Al-Saggaf, U.M., Franklin, G.F.: Model reduction via balanced realizations: an extension and frequency weighting techniques. IEEE Trans. Autom. Control. 33(7):687–692 (1988)
Bandler, J.W., Biernacki, R.M., Chen, S.H., Grobelny, P.A., Hemmers, R.H.: Space mapping technique for electromagnetic optimization. IEEE Trans. Microw. Theory Tech. 42(12) 2536–2544 (1994)
Deschrijver, D., Haegeman, B., Dhaene, T.: Orthonormal vector fitting: a robust macromodeling tool for rational approximation of frequency domain responses. IEEE Trans. Adv. Packag. 30(2):216–225 (2007)
Deschrijver, D., Dhaene, T., De Zutter, D.: Robust parametric macromodeling using multivariate orthonormal vector fitting. IEEE Trans. Microw. Theory Tech. 56(7):1661–1667 (2008)
Dhaene, T., Deschrijver, D.: Generalised vector fitting algorithm for macromodelling of passive electronic components. IEE Electron. Lett. 41(6):299–300 (2005)
Ferranti, F., Deschrijver, D., Knockaert, L., Dhaene, T.: Fast parametric macromodeling of frequency responses using parameter derivatives. IEEE Microw. Wirel. Compon. Lett. 18(12):761–763 (2008)
Gustavsen, B., Semlyen, A.: Rational approximation of frequency domain responses by vector fitting. IEEE Trans. Power Deliv. 14(3):1052–1061 (1999)
Gustavsen, B.: Improving the pole relocating properties of vector fitting. IEEE Trans. Power Deliv. 21(3):1587–1592 (2006)
Harrington, R.F.: Field Computation by Moment Methods. Macmillan, NewYork (1968)
Heuberger, P.S.C., Van den Hof, P.M.J., Wahlberg, B.: Modelling and Identification with Rational Orthogonal Basis Functions. Springer-Verlag, London (2005)
Jin, J.M.: The Finite Element Method in Electromagnetics. 2nd (ed.) Wiley, New York (2002)
Levi, E.C.: Complex curve fitting. IRE Trans. Autom. Control. AC-4:37–44 (1959)
Liu, P., Li, Z-F., Han, G-B.: Application of asymptotic waveform evaluation to eigenmode expansion method for analysis of simultaneous switching noise in printed circuit boards (PCBs). IEEE Trans. Electromagn. Compat. 48(3):485–492 (2006)
Mekonnen, Y.S., Schutt-Ainé, J. E.: Broadband macromodeling of sampled frequency data using z-domain vector fitting. IEEE Workshop Signal Propag. Interconnects. Camogli Genova, 45–48 (2007)
Nikolova, N.K., Li, Y., Li, Y., Bakr, M.H.: Sensitivity analysis of scattering parameters with electromagnetic time-domain simulators. IEEE Trans. Microw. Theory Tech. 54(4):1598–1610 (2006)
Nouri, B., Achar, R., Nakhla, M., Saraswat, D.: z-Domain orthonormal vector fitting for macromodeling high-speed modules characterized by tabulated data. IEEE Workshop Signal Propag. Interconnects, SPI 2008, Avignon, pp 1–4 (2008)
Ruehli, A.E., Brennan, P.A.: Efficient capacitance calculations for three-dimensional multiconductor systems. IEEE Trans. Microw. Theory Tech. 21(2):76–82 (1973)
Sanathanan, C., Koerner, J.: Transfer function synthesis as a ratio of two complex polynomials. IEEE Trans. Autom. Control 8(1):56–58 (1963)
Sou, K.C., Megretski, A., Daniel, L.: Quasi-convex optimization approach to parameterized model order reduction. IEEE Trans. Comput-Aided Des. Integr. Circuits Syst. 27(3):456–469 (2008)
Ureel, J., De Zutter, D.: A new method for obtaining the shape sensitivities of planar microstrip structures by a full-wave analysis. IEEE Trans. Microw. Theory Tech. 44(2):249–260 (1996)
Wong, N., Lei, C.: IIR approximation of FIR filters via discrete-time vector fitting. IEEE Trans. Signal Process. 56(3):1296–1302 (2008)
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This work was supported by a grant of the Research Foundation-Flanders (FWO-Vlaanderen).
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Ferranti, F., Deschrijver, D., Knockaert, L., Dhaene, T. (2011). Data-Driven Parameterized Model Order Reduction Using z-Domain Multivariate Orthonormal Vector Fitting Technique. In: Benner, P., Hinze, M., ter Maten, E. (eds) Model Reduction for Circuit Simulation. Lecture Notes in Electrical Engineering, vol 74. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-0089-5_7
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