Causality of Microstrip Models in Simulation Tools

The causality of built-in microstrip models from three simulation tools is evaluated using the DRwS method. Two tools exhibit causality violations, supported by time-domain analysis. Although DRwS identifies noncausal behavior, it does not confirm causality. Model validation is essential for reliable simulation.

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Published
2025-08-18
DOI
https://doi.org/10.1109/emcsipi52291.2025.11169793
Primary Topic
Microwave Engineering and Waveguides
Type
article
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article

Causality of Microstrip Models in Simulation Tools

Chien‐Hsiu Lee, Chaojun Huang, Chiu‐Chih Chou
Microwave Engineering and Waveguides
article

Causality of Microstrip Models in Simulation Tools

Chien‐Hsiu Lee, Chaojun Huang, Chiu‐Chih Chou
article en

Abstract

The causality of built-in microstrip models from three simulation tools is evaluated using the DRwS method. Two tools exhibit causality violations, supported by time-domain analysis. Although DRwS identifies noncausal behavior, it does not confirm causality. Model validation is essential for reliable simulation.

National Central University (TW)
Openalex Percentile: Top 74%
Microwave Engineering and Waveguides
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Causality of Microstrip Models in Simulation Tools — Chien‐Hsiu Lee, Chaojun Huang, et al. · (2025) | TGRS Research Map | TGRS