2021
DOI: 10.1109/tmtt.2021.3119333
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Numerical Green’s Function-Based Method for Modeling Radiated Emission From PCBs in Shielding Enclosures

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Cited by 12 publications
(2 citation statements)
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“…Although the inclusion of effects of surrounding environment truly guarantees the accuracy of the equivalent source, it brings another challenge, i.e., due to the complex environment, in the matrix construction process, the closed-form of the Green's function used to connect the equivalent dipole source to the near-field data is not available. To get this problem addressed, this work advises calculating the Green's function via full-wave numerical methods [23]. With this NGF, the source reconstruction process can be implemented even in complex EM environments.…”
Section: A Srm For the Electronic Circuits In Shielding Enclosurementioning
confidence: 99%
See 1 more Smart Citation
“…Although the inclusion of effects of surrounding environment truly guarantees the accuracy of the equivalent source, it brings another challenge, i.e., due to the complex environment, in the matrix construction process, the closed-form of the Green's function used to connect the equivalent dipole source to the near-field data is not available. To get this problem addressed, this work advises calculating the Green's function via full-wave numerical methods [23]. With this NGF, the source reconstruction process can be implemented even in complex EM environments.…”
Section: A Srm For the Electronic Circuits In Shielding Enclosurementioning
confidence: 99%
“…Thereby, the EM effects of the substrate, ground plane, and shielding enclosure are rigorously incorporated, which makes the reconstructed source more accurate. Due to the complex EM environment around the equivalent dipoles, the analytical form of the Green's function used to bridge the relation between the dipoles and the sampled magnetic near-field over a planar plane is not available, thus the numerical Green's function (NGF) is used to replace the analytical one [23]- [26]. As an inverse problem, the reconstructed source is very sensitive to noise disturbances and measurement uncertainties.…”
Section: Introductionmentioning
confidence: 99%