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  4. Uncertainty quantification of the insertion loss of an automotive PCB stripline
 
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Uncertainty quantification of the insertion loss of an automotive PCB stripline

Publikationstyp
Conference Paper
Date Issued
2024-05
Sprache
English
Author(s)
Hernandez-Bonilla, Jose Enrique
Alavi, Golzar
Reuschel, Torsten  
Yang, Cheng  
Theoretische Elektrotechnik E-18  
Schuster, Christian  
Theoretische Elektrotechnik E-18  
TORE-URI
https://hdl.handle.net/11420/48092
Citation
28th IEEE Workshop on Signal and Power Integrity, SPI 2024
Contribution to Conference
28th IEEE Workshop on Signal and Power Integrity, SPI 2024  
Publisher DOI
10.1109/SPI60975.2024.10539230
Scopus ID
2-s2.0-85195365290
Publisher
IEEE
ISBN
979-8-3503-8293-8
In this combination of measurement and modeling, the relative effect of process variations present in the cross-section dimensions and material properties of two automotive printed circuit boards (PCBs), with 10-inch striplines is studied. Specifically, the insertion loss (IL) uncertainty up to 20 GHz. The PCBs were horizontally cut into fifteen cross-section samples each. Normal distributions were obtained after measurements of their physical dimensions and for the PCB dielectric properties, a uniform distribution was selected. The measured distributions in combination with assumed stochastic variations for the dielectric properties of the striplines were used to simulate a 2D cross-section via an electromagnetic (EM) 2D- Method of Moments (MoM) solver. The sensitivities due to the input variables were obtained through a second order polynomial chaos expansion (PCE) in two different analysis. The first case focused on the measured physical dimensions variability and showed that the conductor roughness had the biggest effect on the IL uncertainty. The second case analyzed the combination between measured data and the assumed stochastic variation of the dielectric properties; and showed a bigger dependence of the IL uncertainty due to the dielectric properties than the physical dimensions.
Subjects
automotive
copper roughness
high-speed
interconnect
sensitivity analysis
DDC Class
600: Technology
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