A 2-D Parameter-Optimized Spatial Finite-Difference Temporal Differential Method With Dispersion-Controllable Properties

In this letter, a 2-D parameter-optimized spatial finite-difference temporal differential (SFDTD) method is presented, referred to as the PO-SFDTD method. First, the dispersion characteristic of the conventional SFDTD method is demonstrated. To improve dispersion performance, we incorporate a weight parameter and utilize the central-difference approximation with four stencils for spatial discretization. Then, we develop a dispersion-controllable 2-D PO-SFDTD method. Numerical experiments validate that the proposed method can significantly reduce dispersion errors and optimize numerical dispersion according to specific requirements.

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Publication Details

Journal
IEEE Antennas and Wireless Propagation Letters
Published
2024-11-25
DOI
https://doi.org/10.1109/lawp.2024.3505270
Citations
1
Primary Topic
Electromagnetic Simulation and Numerical Methods
Type
article
Field-Weighted Citation Impact
0.21

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article

A 2-D Parameter-Optimized Spatial Finite-Difference Temporal Differential Method With Dispersion-Controllable Properties

Junfeng Wang, Zhizhang Chen, Hao Huang
1 citations
IEEE Antennas and Wireless Propagation Letters
Electromagnetic Simulation and Numerical Methods
0.21
article

A 2-D Parameter-Optimized Spatial Finite-Difference Temporal Differential Method With Dispersion-Controllable Properties

Junfeng Wang, Zhizhang Chen, Hao Huang
article en
1 citations

Abstract

In this letter, a 2-D parameter-optimized spatial finite-difference temporal differential (SFDTD) method is presented, referred to as the PO-SFDTD method. First, the dispersion characteristic of the conventional SFDTD method is demonstrated. To improve dispersion performance, we incorporate a weight parameter and utilize the central-difference approximation with four stencils for spatial discretization. Then, we develop a dispersion-controllable 2-D PO-SFDTD method. Numerical experiments validate that the proposed method can significantly reduce dispersion errors and optimize numerical dispersion according to specific requirements.

IEEE Antennas and Wireless Propagation LettersVol. 24(2)
Chongqing University of Posts and Telecommunications (CN), Dalhousie University (CA)
National Natural Science Foundation of China
Openalex Percentile: Top 46%
Electromagnetic Simulation and Numerical Methods
0.21
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A 2-D Parameter-Optimized Spatial Finite-Difference Temporal Differential Method With Dispersion-Controllable Properties — Junfeng Wang, Zhizhang Chen, et al. · IEEE Antennas and Wireless Propagation Letters (2024) | TGRS Research Map | TGRS