Seminar: Broadband Electromagnetic Modelling and Stochastic Signal Analysis of Multiconductor Interconnections

Date/Time

Oct. 5, 2017 from 04:00 PM - 05:00 PM

Location

Sanford Fleming (SF 1105)
10 King's College Rd
Toronto, ON M5S 3G

Calendar

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Presentations

Title: Broadband Electromagnetic Modelling and Stochastic Signal Analysis of Multiconductor Interconnections

Prof. Daniel De Zutter, Ghent University, Ghent Belgium -- Department of Information Technology

Abstract:

This lecture addresses the statistical modelling and simulation of high-speed interconnections with uncertain physical properties and terminations. Typical quantities of interest are S-parameters, crosstalk, Bit Error Rates and eye-diagrams. Focus is on on-board and on-chip multiconductor interconnections modelled by the telegrapher equations. First, the meaning of the classical resistance, inductance, conductance and capacitance (RLGC) per unit-of-length parameters in the presence of good conductors and semiconductors, is revisited. Next, attention is devoted to an efficient numerical approach to obtain broadband RLGC-data for arbitrary cross-sections, while accurately taking skin-effect and current crowding into account. This efficient numerical technique lays the foundation for the subsequent statistical signal analysis where stochastic variations in the physical link properties and in the load conditions are included. It is shown how Polynomial Chaos based approaches can be advantageously harnessed to beat the traditional Monte Carlo technique and how these techniques can be integrated in SPICE-compatible simulators. Finally, we consider the case in which only a limited set of measurements or simulations of a passive interconnection, exhibiting variability, are available, without any further physical or geometrical insight. It is investigated how machine learning techniques allow to create a realistic and physically consistent stochastic model of that interconnection and its signal transfer properties.