Efficient calculation of interior scattering from cavities with small modifications

Chen, Xinlei; Liu, Xiuqiang; Gu, Changzhi

doi:10.1049/el.2019.2689

Cited by 4 publications

(4 citation statements)

References 9 publications

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“…Even though the problem definition above bears a semblance of a partial geometry modification problem, it is not a typification of partial geometry modification problems in which parts of the EM structure are removed or replaced for alteration and modification 29 , 30 . This is mainly because the geometry of the EM structure (and its associated elements) in this study, in and of itself, is not altered or modified.…”

Section: System Model and Methodsmentioning

confidence: 99%

Machine learning-assisted lens-loaded cavity response optimization for improved direction-of-arrival estimation

Abbasi

Akinsolu

Liu

et al. 2022

Sci Rep

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This paper presents a millimeter-wave direction of arrival estimation (DoA) technique powered by dynamic aperture optimization. The frequency-diverse medium in this work is a lens-loaded oversized mmWave cavity that hosts quasi-random wave-chaotic radiation modes. The presence of the lens is shown to confine the radiation within the field of view and improve the gain of each radiation mode; hence, enhancing the accuracy of the DoA estimation. It is also shown, for the first time, that a lens loaded-cavity can be transformed into a lens-loaded dynamic aperture by introducing a mechanically controlled mode-mixing mechanism inside the cavity. This work also proposes a way of optimizing this lens-loaded dynamic aperture by exploiting the mode mixing mechanism governed by a machine learning-assisted evolutionary algorithm. The concept is verified by a series of extensive simulations of the dynamic aperture states obtained via the machine learning-assisted evolutionary optimization technique. The simulation results show a 25$$\%$$ % improvement in the conditioning for the DoA estimation using the proposed technique.

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Section: System Model and Methodsmentioning

confidence: 99%

Machine learning-assisted lens-loaded cavity response optimization for improved direction-of-arrival estimation

Abbasi

Akinsolu

Liu

et al. 2022

Sci Rep

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“…Previous research [1–3] shows that the magnetic field integral equation (MFIE) with the Kirchhoff approximation (KA) [1, 4] can be used to calculate the interior scattering from cavities. To solve the MFIE, the iterative physical optics (IPO) [1] and the method of moments (MoM) [2, 3] can be applied. However, the MoM can give more accurate results than the IPO for complex cavities [2].…”

Section: Introductionmentioning

confidence: 99%

“…Introduction: The prediction of the interior scattering from open-ended cavities is an important aspect in designing stealthy engine inlets and nozzles. Previous research [1][2][3] shows that the magnetic field integral equation (MFIE) with the Kirchhoff approximation (KA) [1,4] can be used to calculate the interior scattering from cavities. To solve the MFIE, the iterative physical optics (IPO) [1] and the method of moments (MoM) [2,3] can be applied.…”

mentioning

confidence: 99%

“…Conclusion: An efficient method is presented to predict the interior scattering from a PEC cavity with different and small IBC walls. The method uses MFIE with KA [1][2][3] to estimate the cavity interior scattering, and uses the SMW formula [8][9][10] to avoid the repeated and expansive LU decompositions when the IBC wall is modified multiple times. Numerical results show that the method can save considerable amount of CPU time compared with the conventional MoM.…”

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confidence: 99%

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Efficient calculation of interior scattering from cavities with partial IBC wall

Chen

Liu

et al. 2020

Electron. lett.

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The magnetic field integral equation based method of moments (MoM) with the Kirchhoff approximation can predict the interior scattering from cavities with impedance boundary condition (IBC) walls. However, if the IBC wall is a small part of the whole wall and is modified multiple times, the conventional MoM may be time-consuming due to the repeated and expensive lower-upper (LU) decompositions of impedance matrices. In this Letter, the Sherman-Morrison-Woodbury (SMW) formula is used to mitigate the problem. The authors only require to perform the LU decomposition of the cavity without IBC walls, and to efficiently obtain the solutions of the cavity with different IBC walls by reusing the LU decomposition and the SMW formula.

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Modeling of electromagnetic propagation inside jet engine environment using statistical electromagnetic approach

Krishna,

Abdelaziz,

Khattab

2024

Sci Rep

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In this paper, the distribution of the electromagnetic field inside a complex jet engine environment is analyzed using statistical electromagnetics. The jet engine environment is an extremely complex geometry and exhibits random behavior due to the presence of moving metallic parts. This renders traditional analytical and simulation modeling techniques highly inefficient. To address this issue, two different approaches are proposed to model the propagation characteristics of the jet engine environment. The first is an innovative dynamic system approach based on dynamic system simulation which is inspired by the analysis of mechanically stirred reverberation chambers. In the dynamic system simulation the dynamic system, which is characterized by the rotation of a distinct set of blades, is primarily studied through the simulation program. A dimension scaling method is also introduced along with the dynamic system simulation to solve the complex jet engine environment. In the second approach, a novel statistical excitation method is applied to develop an equivalent model for the dynamic jet engine system. The studied jet engine is considered as a static jet engine system without blade rotation (static blades), but with a random excitation.A small signal analysis method is used to integrate the static and dynamic system parameters to generate random excitation characteristics of the static system. The extracted electric field values from the dynamic jet engine simulation environment and the static system field values from the small signal analysis have been analyzed statistically to prove the statistical equality between the two systems. The numerical results of the static system model are presented and verified through comparison with finite element method simulation packages.

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Efficient calculation of interior scattering from cavities with small modifications

Cited by 4 publications

References 9 publications

Machine learning-assisted lens-loaded cavity response optimization for improved direction-of-arrival estimation

Machine learning-assisted lens-loaded cavity response optimization for improved direction-of-arrival estimation

Efficient calculation of interior scattering from cavities with partial IBC wall

Modeling of electromagnetic propagation inside jet engine environment using statistical electromagnetic approach

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