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Cited 7 time in webofscience Cited 7 time in scopus
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Comprehensive Study on Numerical Aspects of Modified Lorentz Model-Based Dispersive FDTD Formulations

Authors
Choi, HongjinBaek, Jae-WooJung, Kyung-Young
Issue Date
Dec-2019
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
Time-domain analysis; Finite difference methods; Dispersion; Numerical models; Mathematical model; Media; Numerical stability; Dispersive media; finite-difference time-domain (FDTD) methods; numerical analysis; numerical stability
Citation
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, v.67, no.12, pp.7643 - 7648
Indexed
SCIE
SCOPUS
Journal Title
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
Volume
67
Number
12
Start Page
7643
End Page
7648
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/11613
DOI
10.1109/TAP.2019.2934779
ISSN
0018-926X
Abstract
Finite-difference time domain (FDTD) has been widely used to analyze electromagnetic wave interaction with dispersive media. It is of great necessity to incorporate a dispersion model into FDTD formulation for electromagnetic wave analysis of dispersive media. Recently, it was reported that the modified Lorentz model can cover Debye, Drude, Lorentz, critical point, and quadratic complex rational function models. In this work, it is illustrated that the modified Lorentz model can also cover the complex-conjugate pole-residue model which is one of the most popular dispersion models. Modified Lorentz-based dispersive FDTD has not been thoroughly studied, especially for numerical aspects. In this work, we investigate auxiliary differential equation (ADE)-FDTD formulations for the modified Lorentz model based on electric flux density (D), current (J), or polarization (P). We perform a comprehensive study on memory requirement, the number of arithmetic operations, numerical stability, and numerical permittivity for the above three ADE-FDTD formulations. In addition, the bilinear transformation (BT) is incorporated into modified Lorentz-based FDTD formulations and it will be shown that the utilization of the BT can lead to better performance in terms of numerical stability and numerical accuracy. Numerical examples are used to demonstrate our work.
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