Efficient Sub-Gridded FDTD for Three-Dimensional Time-Reversed Electromagnetic Field Shaping

Authors

  • Xiao-Kun Wei School of Physics University of Electronic Science and Technology of China, Chengdu, Sichuan 610054, China
  • Wei Shao School of Physics University of Electronic Science and Technology of China, Chengdu, Sichuan 610054, China
  • Xiao Ding School of Physics University of Electronic Science and Technology of China, Chengdu, Sichuan 610054, China
  • Bing-Zhong Wang School of Physics University of Electronic Science and Technology of China, Chengdu, Sichuan 610054, China

Keywords:

Electromagnetic field shaping, finitedifference time-domain (FDTD) method, sub-gridded scheme, time reversal (TR) technique

Abstract

Based on the space-time focusing property of the time reversal technique, the electromagnetic field shaping of arbitrary patterns is easily realized by using an efficient sub-gridded finite-difference time-domain (FDTD) method in this paper. It is an electrically large and multiscale problem if the desired shaping field requires high resolution. With the advantage of the sub-gridded scheme, the electromagnetic field shaping region can be locally discretized with dense grids, which is embedded in global coarse grids. Then, the Courant-Friedrich-Levy (CFL) limit can be extended by employing the spatial filtering scheme to filter out the unstable harmonics inside the dense grid region. Thus, the number of total unknowns is largely reduced and a common time step size chosen from the CFL limit of the coarse grid is used throughout the computational domain. Simulation results with two kinds of boundary conditions are provided to demonstrate the availability of the spatially-filtered sub-gridded FDTD method for electromagnetic field shaping.

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Published

2021-07-22

How to Cite

[1]
Xiao-Kun Wei, Wei Shao, Xiao Ding, and Bing-Zhong Wang, “Efficient Sub-Gridded FDTD for Three-Dimensional Time-Reversed Electromagnetic Field Shaping”, ACES Journal, vol. 33, no. 08, pp. 828–834, Jul. 2021.

Issue

2018: Vol 33 Iss 8

Section

Articles