2000
DOI: 10.1109/22.842030
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Reduction of numerical dispersion in FDTD method through artificial anisotropy

Abstract: In this paper, a simple and computationally low-cost modification of the standard finite-difference time-domain (FDTD) algorithm is presented to reduce numerical dispersion in the algorithm. Both two-and three-dimensional cases are considered. It is shown that the maximum error in phase velocity can be reduced by a factor of 2-7, depending on the shape of the FDTD cell. Although the reduction procedure is optimal for only single frequency, numerical examples show that the proposed method can also improve the a… Show more

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Cited by 117 publications
(69 citation statements)
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“…To ensure the stability and accuracy of FDTD algorithm [18], in this paper, the spatial increment and temporal increment could be set as Δx = Δy = δ, Δt = 0.5 × δ/c, and c is the light speed in vacuum. The finite-difference equations for the TE waves can be obtained by dual transformations, which are not presented here.…”
Section: Upml Absorbing Boundarymentioning
confidence: 99%
“…To ensure the stability and accuracy of FDTD algorithm [18], in this paper, the spatial increment and temporal increment could be set as Δx = Δy = δ, Δt = 0.5 × δ/c, and c is the light speed in vacuum. The finite-difference equations for the TE waves can be obtained by dual transformations, which are not presented here.…”
Section: Upml Absorbing Boundarymentioning
confidence: 99%
“…One method that has been employed artificially adjusts material parameters to compensate for dispersion [32]. For accelerator applications, several modifications to FDTD have been described that correct for numerical dispersion using implicit methods [3,33].…”
Section: Introductionmentioning
confidence: 99%
“…∆x, ∆y and ∆z are the spatial increments in the x-, y-and z-directions, and ∆t is the time increment. To ensure the stability and accuracy of the FDTD algorithm [18], the Courant stability limit in this paper could be set as ∆x = ∆y = ∆z = ∆, ∆t = 0.5 × ∆/c, and c is the light speed propagation in the vacuum. Similarly, finite-difference approximations for the y-and z-components can be similarly derived as shown by Ref.…”
Section: Computation Of Near Fieldsmentioning
confidence: 99%