2022
DOI: 10.1109/tmtt.2021.3136290
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Compact System-Combined-Based FDTD Implementations With Approximate Crank–Nicolson Scheme and Electromagnetic Scattering

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Cited by 6 publications
(1 citation statement)
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“…As a crucial tool, the finite-difference time-domain (FDTD) method have been widely developed to solve electromagnetic scattering issues, such as alternating-direction implicit FDTD [36]- [38], Crank-Nicolson FDTD [39]- [40], Crank-Nicolson direct-splitting FDTD [41], backward Euler direct-splitting FDTD (BEDS-FDTD) [42] and et al In this paper, BEDS-FDTD method is used to discretize the partial differential equations (PDEs) obtained after the SOE approximation of Maxwell's equation with a CCM dispersion. Then the SOE-BEDS and Caputo-BEDS method are implemented to numerically simulate the fractional derivative.…”
mentioning
confidence: 99%
“…As a crucial tool, the finite-difference time-domain (FDTD) method have been widely developed to solve electromagnetic scattering issues, such as alternating-direction implicit FDTD [36]- [38], Crank-Nicolson FDTD [39]- [40], Crank-Nicolson direct-splitting FDTD [41], backward Euler direct-splitting FDTD (BEDS-FDTD) [42] and et al In this paper, BEDS-FDTD method is used to discretize the partial differential equations (PDEs) obtained after the SOE approximation of Maxwell's equation with a CCM dispersion. Then the SOE-BEDS and Caputo-BEDS method are implemented to numerically simulate the fractional derivative.…”
mentioning
confidence: 99%