Novel Formulations of Multireflections and Their Applications to High-Speed Channel Design

Reflection theory has been long established for over decades targeted at microwave and radio frequency (RF) applications. With ultra-high-bandwidth applications emerging, such as 112 Gb/s and higher speed Ethernet protocols, discontinuities in high-speed channels negatively impact signal quality, wh...

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Bibliographic Details
Published in:IEEE transactions on signal and power integrity 2022, Vol.1, p.43-54
Main Authors: Ouyang, Muqi, Cai, Xiao-Ding, Pu, Bo, Gao, Qian, Penugonda, Srinath, Li, Chaofeng, Sen, Bidyut, Hwang, Chulsoon, Kim, DongHyun
Format: Article
Language:English
Subjects:
Behavioral sciences
Design optimization
Eye diagram
Geometry
high-speed channel
Insertion loss
Microwave communication
multireflections
Permittivity
Protocols
Radio frequency
Reflection
Signal integrity
Stripline
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Summary:Reflection theory has been long established for over decades targeted at microwave and radio frequency (RF) applications. With ultra-high-bandwidth applications emerging, such as 112 Gb/s and higher speed Ethernet protocols, discontinuities in high-speed channels negatively impact signal quality, where reflections become one of the most critical concerns in high-speed designs. In this article, for the first time, we analyzed the traditional reflection theory and proposed and verified a new formulation, which exhibits the reflection-related parameters explicitly, indicating where design optimization can be made for high-bandwidth applications using the backtracked propagation method. Our closed-form formulation is applied to high-speed channel examples, where effective mitigation of negative impact from reflections on signal integrity can be identified to be used as a prelayout channel design guide. Our proposed formulation of the reflection theory provides more accurate prediction of high-speed channel behavior to minimize the negative signal integrity impact from reflections.
ISSN:2768-1866
2768-1866
DOI:10.1109/TSIPI.2022.3176592