Modeling of Bandpass GPR Problem by HIE Procedure With Enhanced Absorption

Wu, Peng; Xie, Yongjun; Jiang, Haolin; Natsuki, Toshiaki

doi:10.1109/lgrs.2021.3113839

Cited by 6 publications

(3 citation statements)

References 18 publications

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“…Thus, it is important to analyze the influence of multiplication/division and addition/subtraction numbers on efficiency and resources. The compare different PML algorithms, FDTD-PML in [40], HIE-PML in [33], LHIE-CPML in [34], CE-HIE-HPML in [41], CE-LHIE-HPML and FDTD-HPML in [42] with explicit and implicit equations are employed with results that are shown in Table 1.…”

Section: Formulationmentioning

confidence: 99%

Narrow-Bandpass One-Step Leapfrog Hybrid Implicit-Explicit Algorithm with Convolutional Boundary Condition for Its Applications in Sensors

Wang

Xie

Jiang

et al. 2022

Sensors

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A large number of sensors work in the narrow bandpass circumstance. Meanwhile, some of them hold fine details merely along one and two dimensions. In order to efficiently simulate these sensors and devices, the one-step leapfrog hybrid implicit-explicit (HIE) algorithm with the complex envelope (CE) method and absorbing boundary condition is proposed in the narrow bandpass circumstance. To be more precise, absorbing boundary condition is implemented by the higher order convolutional perfectly matched layer (CPML) formulation to further enhance the absorption during the entire simulation. Numerical examples and their experiments are carried out to further illustrate the effectiveness of the proposed algorithm. The results show considerable agreement with the experiment and theory resolution. The relationship between the time step and mesh size can break the Courant–Friedrichs–Levy condition which indicates the physical size/selection mesh size. Such a condition indicates that the proposed algorithm behaviors are considerably accurate due to the rational choice in discretized mesh. It also shows decrement in simulation duration and memory consumption compared with the other algorithms. In addition, absorption performance can be improved by employing the proposed higher order CPML algorithm during the whole simulation.

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Section: Formulationmentioning

confidence: 99%

Narrow-Bandpass One-Step Leapfrog Hybrid Implicit-Explicit Algorithm with Convolutional Boundary Condition for Its Applications in Sensors

Wang

Xie

Jiang

et al. 2022

Sensors

Self Cite

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“…It should be noticed that both of them hold higher reflection at low-frequency due to the non-absorption of low-frequency propagation waves [30]. Such condition becomes significant in remote sensing problems including GPR problems and broadband radar system which hold large number of lowfrequency waves [31][32][33][34]. The huge reflection at lowfrequency wave band results in the invalid calculation.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Scattering Characteristics Based on Crank-Nicolson Direct-Splitting Algorithm for Remote Sensing Problems

Gao,

Jiang,

Fan

et al. 2024

IEEE Open J. Antennas Propag.

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In remote sensing problems, broadband scattering investigation becomes increasingly important than ever before. The scattering characteristic changes significantly with the variation of range. Thus, the conventional evaluation method becomes invalid in many situations. Meanwhile, an efficient method for the simulation of electromagnetic wave propagation in electrically large remote sensing problem is also an urgently demanding. In order to alleviate such problems, an alternative Crank-Nicolson Direct-Splitting algorithm is proposed in open regions. To infinite extension of the computational domain, convolutional perfectly match layer with higher order formulation is proposed not only to further enhance the absorption at low-frequency band but also to decrease the reflections during the entire time domain simulation. Efficient method is proposed for scattering characteristics evaluation which ranges from near-field to far-field. Radar remote sensing Problems including ground penetrating radar and early warning radar are introduced to demonstrate the effectiveness of the algorithm. Through the results, it can be concluded that the proposed algorithm shows considerable performance in the simulation of remote sensing problems.

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“…While unconditionally stable algorithms are capable of preserving algorithmic stability in the absence of stability condition limitations, their efficiency is limited to specific details across all dimensions [20]. The hybrid implicit-explicit (HIE) technique is presented to solve fine details only along low dimensions in order to achieve a significant performance for low-dimensional fine details [21]. Time steps can be increased in accordance with the use of the HIE algorithm with a significant degree of accuracy by using the implicit updating procedure.…”

Section: Introductionmentioning

confidence: 99%

Domain Decomposition Hybrid Implicit–Explicit Algorithm with Higher-Order Perfectly Matched Layer Formulation for Electrical Performance Evaluation under Low-Pressure Discharge Phenomenon

Wang,

Cui,

Zhang

et al. 2024

Electronics

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Low-pressure discharge events have a major impact on a satellite’s electrical performance. Most notably, a number of serious issues arise from the inability to directly modify satellite systems that operate in orbit. Accurate analysis of electrical performance is crucial for mitigating the issues arising from the low-pressure discharge phenomenon. Complex structures, such as intricate features and curved structures, are frequently used in satellite systems’ enormous microwave components. In this case, the finite-difference time-domain (FDTD) approach proposes the hybrid implicit–explicit (HIE) algorithm with a domain decomposition method to effectively simulate complex structures under the low-pressure discharge phenomenon. The bilinear transform method is adjusted in accordance with the implicit equations for the anisotropic magnetized plasma environment caused by the discharge. To end unbounded lattices, a higher-order perfectly matched layer is used at the boundary. An example of a microwave connector structure is used to show how well the algorithm performs electrically. According to the findings, the suggested algorithm behaves in a way that is consistent with both the traditional algorithm and the experiments. Furthermore, the phenomenon of low-pressure discharge has a notable impact on the electrical performance of microwave components.

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Modeling of Bandpass GPR Problem by HIE Procedure With Enhanced Absorption

Cited by 6 publications

References 18 publications

Narrow-Bandpass One-Step Leapfrog Hybrid Implicit-Explicit Algorithm with Convolutional Boundary Condition for Its Applications in Sensors

Narrow-Bandpass One-Step Leapfrog Hybrid Implicit-Explicit Algorithm with Convolutional Boundary Condition for Its Applications in Sensors

Analysis of Scattering Characteristics Based on Crank-Nicolson Direct-Splitting Algorithm for Remote Sensing Problems

Domain Decomposition Hybrid Implicit–Explicit Algorithm with Higher-Order Perfectly Matched Layer Formulation for Electrical Performance Evaluation under Low-Pressure Discharge Phenomenon

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