Accurate and Efficient Crosstalk Analysis by Full-wave Computations and System Identification
Paper in proceedings, 2020

We present a system-identification procedure applied to a crosstalk problem, which can be accurately analyzed by an in-house full-wave solver based on the method of moments (MoM). Given a relatively few frequency-samples of the crosstalk current, we demonstrate that it is feasible to estimate a reduced-order model of the continuous frequency dependence, where the frequency band of interest corresponds to an electrical size of the system that ranges roughly from 0.005 to 2.7 wavelengths. The estimated low-order model of the frequency response takes the form of a Padé approximant and it yields an accurate representation when compared to the reference frequency-response, as it is computed directly by the MoM solver. In addition, the low-order model can be evaluated at an extremely low computational cost and it provides useful information such as resonance frequencies and their quality factors. For the system analysis of a real-world device, the low-order model can serve as a computationally powerful and accurate representation of the electromagnetic response for a subsystem that features full-wave phenomena that otherwise could be too challenging to describe at a system level.

Method of Moments

System Identification

EMC

Crosstalk

Author

Carl Holmberg

Chalmers, Electrical Engineering, Signal Processing and Biomedical Engineering, Signal Processing

Thomas Rylander

Chalmers, Electrical Engineering, Signal Processing and Biomedical Engineering, Signal Processing

Jan Carlsson

Chalmers, Electrical Engineering, Communication and Antenna Systems, Antennas

Tomas McKelvey

Chalmers, Electrical Engineering, Signal Processing and Biomedical Engineering, Signal Processing

Proceedings of the 2020 International Symposium on Electromagnetic Compatibility - EMC EUROPE, EMC EUROPE 2020

9245844

2020 International Symposium on Electromagnetic Compatibility - EMC EUROPE, EMC EUROPE 2020
Virtual, Rome, Italy,

Subject Categories

Control Engineering

Signal Processing

Other Electrical Engineering, Electronic Engineering, Information Engineering

DOI

10.1109/EMCEUROPE48519.2020.9245844

More information

Latest update

12/17/2020