2015
DOI: 10.1049/el.2015.2488
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UPML‐ABC and TF/SF boundary for unconditionally stable AH‐FDTD method in conductive medium

Abstract: For analysing the scattering problem in conductive medium with the new unconditionally stable associated Hermite (AH) finite-difference time-domain (FDTD) method, the formulation of uniaxial anisotropic perfectly matched layer absorbing boundary condition (UPML-ABC) and the total-field/scattered-field (TF/SF) implementation scheme are deduced. By virtue of AH differential transformation matrix and the eigenvalue transformation, frequency-dependent parameters of the lossy medium can be well treated in AH-UPML, … Show more

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Cited by 9 publications
(4 citation statements)
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“…In Figure 3, it is noted that the maximum relative error is −43 dB, −58 dB, and −70 dB for the BPML, UPML, and CPML, respectively. And it is obvious that, with the CFS factor, the CPML is superior to BPML and UPML [10]. In Figures 2 and 3, the computation time is much higher than the time-support of source wave.…”
Section: Numerical Demonstrationmentioning
confidence: 93%
See 1 more Smart Citation
“…In Figure 3, it is noted that the maximum relative error is −43 dB, −58 dB, and −70 dB for the BPML, UPML, and CPML, respectively. And it is obvious that, with the CFS factor, the CPML is superior to BPML and UPML [10]. In Figures 2 and 3, the computation time is much higher than the time-support of source wave.…”
Section: Numerical Demonstrationmentioning
confidence: 93%
“…Some PML variants have been proposed to improve the absorbing effectiveness for various electromagnetic waves, like modified PML (MPML), uniaxial anisotropic PML (UPML), generalized PML (GPML), and so forth. Recently, UPML-ABC for AH-FDTD method [10] is used in conductive medium. According to Kuzuoglu and Mittra in [11], the complex frequency shifted (CFS) PML [12,13] is the most accurate in all the PML.…”
Section: Introductionmentioning
confidence: 99%
“…[3] Among them, ADI [4][5][6] and LOD, [7,8] orthogonal expansions are implicit methods. [9][10][11][12] Namely, the inverse of the matrix is necessary to be solved in the process of iteration. Although these implicit methods are unconditionally stable, they also have some disadvantages.…”
Section: Introductionmentioning
confidence: 99%
“…So for the problems with fine structures, it should choose a small time step and then a large number of marching-on-in-time steps for simulation, which is a time-consuming process. To eliminate the stability condition for fine structure, many unconditionally stable (US) methods were proposed, such as alternating direction implicit (ADI) method [3] and orthogonal function-based methods [4][5][6][7][8][9]. The orthogonal function-based methods can be classified into two main categories: the marchingon-in-order scheme and the paralleling-in-order scheme.…”
Section: Introductionmentioning
confidence: 99%