Method-of-Moments Modeling of Conducting Objects within the Fast Irregular Antenna Field Transformation Algorithm

Kornprobst, Jonas; Paulus, Alexander; Eibert, Thomas F.; Mauermayer, Raimund A. M.

doi:10.36227/techrxiv.20126102.v1

“…Accordingly, echo suppression techniques can be sorted into two categories: Time domain suppression techniques [1]- [9] isolate the scattering due to the delayed temporal appearance and frequency domain techniques trace the radiated fields back to their spatial origin (spatial filtering) [10]- [14] and work with single frequency data. Spatial filtering tries to fit the measurement data to a localized antenna model; this is implemented either by localized equivalent sources [10]- [12] or modal echo suppression [13], [14]. Due to the localized nature of the antenna, only a certain number of field modes are identified as belonging to the AUT and all field modes which are not radiated from within the AUT location are removed.…”

Section: Imentioning

confidence: 99%

Suppressing Undesired Echoes by Sparsity Based Time Gating of Reconstructed Sources

Knapp¹,

Kornprobst²,

Eibert³

2022

Preprint

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<p>The free-space radiation characteristic of an antenna under test (AUT) is determined from measurements in proximity of a scatterer by time gating reconstructed equivalent currents for the AUT and the scatterer. The presented approach effectively combines spatial filtering methods with time domain methods while mitigating their individual drawbacks. In contrast to conventional time-gating methods which usually work on the measured probe signals this approach allows to get rid of undesired echo perturbations even if measurement samples are located in the shadow region of the scatterer and the line of sight (LOS) contribution and the echo contribution are indistinguishable for the field probe. In contrast to conventional frequency domain methods, mutual coupling contributions of the AUT currents are identified and removed in the time domain representation of the reconstructed currents. Numerical examples show that, due to the sparse time domain representation of the currents, the free-space radiation of the AUT can be determined accurately even at the borders of the measured bandwidth.</p>

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“…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%

Source Reconstruction of Electronic Circuits in Shielding Enclosures Based on Numerical Green’s Function and Application in Electromagnetic Interference Estimation

Wang

¹

,

Xiao

²

,

Mao

³

et al. 2022

IEEE Trans. Microwave Theory Techn.

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In this work, to characterize the radiated emission from electronic circuits in shielding enclosure, an improved electric dipole-based source reconstruction method (SRM) is developed. Moreover, by resorting to this reconstructed equivalent source, the estimation of electromagnetic interference (EMI) between different circuit modules in the enclosure can be conveniently and accurately evaluated. Different from the freespace SRM, the equivalent dipoles of the proposed SRM are directly placed over the shielding box enclosed circuit board, and the numerical Green's function (NGF) is developed to bridge the connection between the equivalent dipoles and the planar scanned magnetic near-field. With the NGF strategy, the effects of surrounding environments (including the presence of substrate, ground plane, and shielding enclosure) are inclusively considered, which makes the proposed SRM valid for any complex EM environments in theory. Since the proposed SRM also has the capability of reproducing the radiated emission inside the shielding enclosure, it is critically helpful to evaluate the EMI between different circuit modules inside the shielding enclosure. To reach this aim, the Rayleigh-Carson Reciprocity theorem is referred, in which the original EM coupling problem is decomposed into the "forward problem" and "reverse problem." A Huygens box enclosing the victim circuit module is built and the EM fields on the box are obtained using the reconstructed dipoles in both problems. Then the EMI can be calculated accordingly. Therefore, the novelty and merits of the proposed approach are threefold: 1) the physically-based equivalent dipole model considers the interactions between the radiation sources and the surrounding objects, leading to the accurate prediction of radiated emissions both outside and inside the enclosure; 2) due to the utilization of the NGF, there is no approximation involved in the solution of the dipole's radiation, thus improving Manuscript

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Suppressing Undesired Echoes by Sparsity Based Time Gating of Reconstructed Sources

Knapp¹,

Kornprobst²,

Eibert³

2022

Preprint

Self Cite

0

View full text Add to dashboard Cite

<p>The free-space radiation characteristic of an antenna under test (AUT) is determined from measurements in proximity of a scatterer by time gating reconstructed equivalent currents for the AUT and the scatterer. The presented approach effectively combines spatial filtering methods with time domain methods while mitigating their individual drawbacks. In contrast to conventional time-gating methods which usually work on the measured probe signals this approach allows to get rid of undesired echo perturbations even if measurement samples are located in the shadow region of the scatterer and the line of sight (LOS) contribution and the echo contribution are indistinguishable for the field probe. In contrast to conventional frequency domain methods, mutual coupling contributions of the AUT currents are identified and removed in the time domain representation of the reconstructed currents. Numerical examples show that, due to the sparse time domain representation of the currents, the free-space radiation of the AUT can be determined accurately even at the borders of the measured bandwidth.</p>

show abstract

Method-of-Moments Modeling of Conducting Objects within the Fast Irregular Antenna Field Transformation Algorithm

Cited by 3 publications

References 18 publications

Suppressing Undesired Echoes by Sparsity Based Time Gating of Reconstructed Sources

Suppressing Undesired Echoes by Sparsity Based Time Gating of Reconstructed Sources

Source Reconstruction of Electronic Circuits in Shielding Enclosures Based on Numerical Green’s Function and Application in Electromagnetic Interference Estimation

Suppressing Undesired Echoes by Sparsity Based Time Gating of Reconstructed Sources

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