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

研究成果: 書貢獻/報告類型會議論文篇章同行評審

1 引文 斯高帕斯(Scopus)

摘要

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.

原文???core.languages.en_GB???
主出版物標題2021 IEEE International Symposium on Radio-Frequency Integration Technology, RFIT 2021
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781665433914
DOIs
出版狀態已出版 - 25 8月 2021
事件2021 IEEE International Symposium on Radio-Frequency Integration Technology, RFIT 2021 - Hualien, Taiwan
持續時間: 25 8月 202127 8月 2021

出版系列

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

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???2021 IEEE International Symposium on Radio-Frequency Integration Technology, RFIT 2021
國家/地區Taiwan
城市Hualien
期間25/08/2127/08/21

指紋

深入研究「Comparative Study of the Causality Property of Various Conductor Surface Roughness Models」主題。共同形成了獨特的指紋。

引用此