TY - JOUR
T1 - Computationally Efficient CN-PML for em Simulations
AU - Jiang, Hao Lin
AU - Wu, Li Ting
AU - Zhang, Xin Ge
AU - Wang, Qiang
AU - Wu, Pei Yu
AU - Liu, Che
AU - Cui, Tie Jun
N1 - Publisher Copyright:
© 1963-2012 IEEE.
PY - 2019/12
Y1 - 2019/12
N2 - Since nearly all studies concerning the approximate Crank-Nicolson perfectly matched layer (CN-PML) are limited to 2-D cases, a computationally efficient implementation that can be used to truncate 3-D finite-difference time-domain (FDTD) lattices is presented in this article. More precisely, it is based on the CN direct-splitting (DS) scheme and the bilinear transform (BT) method. This article can fully exploit the unconditional stability of the standard CN-FDTD method and can be free from the Courant-Friedrich-Lewy (CFL) limit; hence, it is especially suitable for situations where space discretization step is much smaller than 1/10th or 1/20th of the smallest wavelength of interest. Aiming at further reducing the requirement of the computer resources, this new implementation can be reformulated in more simple forms if proper auxiliary variables are introduced. It therefore shows a higher iteration speed than other published unconditionally stable PMLs as fewer numbers of arithmetic operations are involved. Finally, three numerical examples, including scatting, transmission, and radiation, are also provided to validate its running time, unconditional stability, and absorption characteristic.
AB - Since nearly all studies concerning the approximate Crank-Nicolson perfectly matched layer (CN-PML) are limited to 2-D cases, a computationally efficient implementation that can be used to truncate 3-D finite-difference time-domain (FDTD) lattices is presented in this article. More precisely, it is based on the CN direct-splitting (DS) scheme and the bilinear transform (BT) method. This article can fully exploit the unconditional stability of the standard CN-FDTD method and can be free from the Courant-Friedrich-Lewy (CFL) limit; hence, it is especially suitable for situations where space discretization step is much smaller than 1/10th or 1/20th of the smallest wavelength of interest. Aiming at further reducing the requirement of the computer resources, this new implementation can be reformulated in more simple forms if proper auxiliary variables are introduced. It therefore shows a higher iteration speed than other published unconditionally stable PMLs as fewer numbers of arithmetic operations are involved. Finally, three numerical examples, including scatting, transmission, and radiation, are also provided to validate its running time, unconditional stability, and absorption characteristic.
KW - Bilinear transform (BT)
KW - Crank-Nicolson (CN)
KW - finite-difference time domain (FDTD)
KW - perfectly matched layer (PML)
UR - https://www.scopus.com/pages/publications/85077960760
U2 - 10.1109/TMTT.2019.2946160
DO - 10.1109/TMTT.2019.2946160
M3 - 文章
AN - SCOPUS:85077960760
SN - 0018-9480
VL - 67
SP - 4646
EP - 4655
JO - IEEE Transactions on Microwave Theory and Techniques
JF - IEEE Transactions on Microwave Theory and Techniques
IS - 12
M1 - 8889473
ER -