Non-causal behavior: The cause for concern

Martin, W. C.; Bartley, J.; Doyle, Matt; Ericson, Richard V.; Zettles, George

doi:10.1109/ectc.2012.6249095

Cited by 1 publication

(4 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…12. These violations are clearly false positives, which, in this case, have the same behavior as the single-point causality violations reported in [4] and [5]. Therefore, the formulations in the "AI+RF" and the "NI+RF" procedures automatically minimize occurrences of such violations.…”

Section: B Ansys Siwave Examplementioning

confidence: 68%

“…7(a)). Note the two violations between 1.6 GHz and 1.7 GHz are consecutive and, therefore, are not single-point violations reported in [4], [5].…”

Section: A Lossless Transmission Line Examplementioning

confidence: 85%

“…Knowing a functional form of H ( j ω) is necessary to compute (6) because, since only tabulated values are known, the H ( j ω k 's) have to be interpolated (or approximated) between ω k s. If H ( j ω) denotes this approximation, then the resulting evaluation of (6) gives the quantity H n ( j ω) in (5). The discretization error, denoted as D n ( j ω), is defined as…”

Section: Formulation To Test Causality Of Tabulated S-parametersmentioning

confidence: 99%

“…Currently, however, some users [4], [5] require tabulated S-parameters to be certified for causality before macromodeling, in an attempt to prevent inaccurate transient simulation. This strategy, unfortunately, can also discard S-parameters that may not have resulted in an inaccurate transient simulation.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

On Checking Causality of Tabulated $S$-Parameters

Lalgudi

2013

IEEE Trans. Compon., Packag. Manufact. Technol.

View full text Add to dashboard Cite

The existing formulation for the causality testing of tabulated S-parameters can be oversensitive to noncausality, in that it can report causality violations for data that may not result in an inaccurate transient simulation. Existing numerical procedures that implement the present formulation can result in false-positive test outcomes (i.e., causal data being declared as noncausal). A mechanism to reduce the oversensitivity in the formulation and new testing procedures that minimize false positives are proposed. Oversensitivity is reduced significantly if the target fitting error (of the macromodel to tabulated data) is chosen as the minimum amplitude of the noncausality to be detected. Sources of false-positive outcomes are identified, and four procedures that minimize false positives are proposed. These procedures differ in resolution, accuracy, and computational requirements. Numerical results demonstrating the proposed modifications to the formulation and numerical results comparing and contrasting the different procedures are presented.

show abstract

Section: B Ansys Siwave Examplementioning

confidence: 68%

“…7(a)). Note the two violations between 1.6 GHz and 1.7 GHz are consecutive and, therefore, are not single-point violations reported in [4], [5].…”

Section: A Lossless Transmission Line Examplementioning

confidence: 85%

Section: Formulation To Test Causality Of Tabulated S-parametersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations