Noncausality of AR-Extrapolated S-Parameters

The autoregression (AR) model has been recently used for S-parameter extrapolation to improve TDR stability and reduce the edge effect of time-gating. In this paper, several simulated and measured data are extrapolated using AR, and then causality is examined using the dispersion relation with subtraction. Some cases indicate that AR may give noncausal responses; the results thus raise concerns about the general applicability of AR, and call for solution on fixing the causality.

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Published
2025-08-18
DOI
https://doi.org/10.1109/emcsipi52291.2025.11169812
Primary Topic
Fuzzy Systems and Optimization
Type
article
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article

Noncausality of AR-Extrapolated S-Parameters

Chien Kun Huang, Chiu‐Chih Chou
Fuzzy Systems and Optimization
article

Noncausality of AR-Extrapolated S-Parameters

Chien Kun Huang, Chiu‐Chih Chou
article en

Abstract

The autoregression (AR) model has been recently used for S-parameter extrapolation to improve TDR stability and reduce the edge effect of time-gating. In this paper, several simulated and measured data are extrapolated using AR, and then causality is examined using the dispersion relation with subtraction. Some cases indicate that AR may give noncausal responses; the results thus raise concerns about the general applicability of AR, and call for solution on fixing the causality.

National Central University (TW)
Openalex Percentile: Top 75%
Fuzzy Systems and Optimization
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Noncausality of AR-Extrapolated S-Parameters — Chien Kun Huang, Chiu‐Chih Chou · (2025) | TGRS Research Map | TGRS