Journal
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
Volume 67, Issue 12, Pages 7643-7648Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TAP.2019.2934779
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
Funding
- National Research Foundation of Korea (NRF) - Ministry of Education through the Basic Science Research Program [2017R1D1A1B03034537]
- National Research Foundation of Korea [2017R1D1A1B03034537] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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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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