Time-Reversal Source Reconstruction With Space and Time Kurtoses

Feng, Xiaoyao; Chen, Zhizhang; Xu, Zhimeng; Li, Juan

doi:10.1109/tap.2021.3137384

Cited by 12 publications

(13 citation statements)

References 35 publications

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“…In the past few years, the time reversal has been applied to reconstruct multiple EM source locations and amplitudes [15]. By further introducing the space and time kurtoses, the time reversal source reconstruction becomes more potential in solving real-world problems such as determining excitation time instants of sources and localizing multiple asynchronous sources [16], [17].…”

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

Xiao

Mao

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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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

Xiao

Mao

et al. 2022

IEEE Trans. Microwave Theory Techn.

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“…It has been widely researched in acoustics [1]- [3], optics [4], and electromagnetics [5]- [19]. One of its applications is source reconstruction, where the electromagnetic TR method can replace expensive measurements, signal processing and computations [11]. However, much work has been confined to theoretical discussions and numerical simulations; there are still unresolved ambiguities and controversies about the TR method [20].…”

Section: Introductionmentioning

confidence: 99%

“…In recent years, both Chen's team and Rachidi's collaborators have worked on source reconstruction problems with the TR method. Chen's team focused more on theories and algorithms [5]- [11], while Rachidi and his co-authors on applications [14]- [19]. Compared with TR communications, the TR source reconstruction cares more about energy collection than signal distortion.…”

Section: Introductionmentioning

confidence: 99%

“…Compared with TR communications, the TR source reconstruction cares more about energy collection than signal distortion. One of the main tasks of the source reconstruction is the recovery of location [11].…”

Section: Introductionmentioning

confidence: 99%

“…There have been different methods developed for source reconstruction [11]. They include the traditional maximum amplitude or energy methods (MAM/MEM) [25], the methods by Karami et al [15]- [17], [19], the correlation method [18], the frequency-domain methods like near-field scanning [26]- [28] or far-field measurements [29]- [30] and the kurtosis method we proposed [11]. The energy and Karami's methods do not work for multiple asynchronous sources' localization.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

On the Theory and Experiments of Electromagnetic Time-Reversal Method

Feng¹,

Cai²,

Li³

et al. 2022

Preprint

Self Cite

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<p> Time-reversal (TR) is an effective method of solving inverse problems. However, the theory about the TR is still not clear. This work starts by examining fundamental laws in wave physics and electromagnetics and presents a revisit of the electromagnetic TR method. Then a cavity is employed, and the hardware experiments are performed to validate the TR as a robust and straightforward method for source reconstruction. Since the testing equipment has a limited working bandwidth, special algorithms are developed to transform the band-limited testing data into causal time-domain signals for the TR operations. The results verify the effectiveness of the TR method in real-world situations. The work presented in this paper paves the way for extensions and applications of the TR method toward solving complex, realistic problems. </p>

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Spatiotemporal energy‐density distribution of time‐reversed electromagnetic fields

Le Boudec,

Karami,

Mora

et al. 2024

IET Science Measure & Tech

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Time reversal exploits the invariance of electromagnetic wave propagation in reciprocal and lossless media to localize radiating sources. Time‐reversed measurements are back‐propagated in a simulated domain and converge to the unknown source location. The focusing time (i.e. the simulation instant at which the fields converge to the source location) and the source location can be identified using field maxima, entropy, time kurtosis, and space kurtosis. This paper analyses the spatial energy‐density distribution of time‐reversed electromagnetic fields by introducing a convergence metric based on the spatial average and variance of the energy density. It is analytically proven that the proposed metric identifies the focusing time and the source location, with direct links to the source frequency content. The analytical results are verified in a free‐space numerical simulation and the proposed metric is then compared to existing ones in a simulated inhomogeneous medium. Next, this metric is applied and compared in an experimental case study to localize electromagnetic interference sources. The proposed metric outperforms existing ones to identify the focusing time and can also be used to locate the source. Finally, because of its tensorial nature, it can handle anisotropic media, opening the door to quantitative analyses of time‐reversal focusing in metamaterials.

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Time-Reversal Source Reconstruction With Space and Time Kurtoses

Cited by 12 publications

References 35 publications

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

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

On the Theory and Experiments of Electromagnetic Time-Reversal Method

Spatiotemporal energy‐density distribution of time‐reversed electromagnetic fields

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