Comparative Study of the Causality Property of Various Conductor Surface Roughness Models

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Accurate modeling of conductor roughness is crucial for signal integrity analysis. Various models have been proposed in the literature, while many of the commonly-used ones are not causal, meaning that the time domain waveform will have nonphysical precursors before the actual arrival of the signal. The causality issue has been addressed in a few papers, while there is a lack of a thorough comparison between the available models. In this paper, through a 7-inch microstrip line example, we compare the causality of six models: Hammerstad, modified Hammerstad, causal Hammerstad, hemisphere, Huray, and causal Huray. It is found that the hemisphere and Huray models can have a> 10 mV precursor, the Hammerstad models have smaller precursor (<4 mV) due to its fast saturation, whereas all causal models have no precursors.

Original languageEnglish
Title of host publication2021 IEEE International Symposium on Radio-Frequency Integration Technology, RFIT 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665433914
DOIs
StatePublished - 25 Aug 2021
Event2021 IEEE International Symposium on Radio-Frequency Integration Technology, RFIT 2021 - Hualien, Taiwan
Duration: 25 Aug 202127 Aug 2021

Publication series

Name2021 IEEE International Symposium on Radio-Frequency Integration Technology, RFIT 2021

Conference

Conference2021 IEEE International Symposium on Radio-Frequency Integration Technology, RFIT 2021
Country/TerritoryTaiwan
CityHualien
Period25/08/2127/08/21

Keywords

  • causality
  • surface roughness
  • transmission line

Fingerprint

Dive into the research topics of 'Comparative Study of the Causality Property of Various Conductor Surface Roughness Models'. Together they form a unique fingerprint.

Cite this