The Convolutional Perfectly Matched Layer for an Efficient 3-D WLP-FDTD Method

Bin Zou; Jincheng Chang; Shuo Liu; Lamei Zhang

doi:10.1109/LAWP.2022.3186986

The Convolutional Perfectly Matched Layer for an Efficient 3-D WLP-FDTD Method

Bin Zou
, Jincheng Chang
, Shuo Liu
, Lamei Zhang^*

^*Corresponding author for this work

School of Electrical Engineering and Automation, Harbin Institute of Technology

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

In this letter, the convolution perfectly matched layer (CPML) is modified and implemented for an efficient 3-D finite-difference time-domain method with weighted Laguerre polynomials (WLP-FDTD). The formulations are derived from the CPML equations for conventional WLP-FDTD. A factorization-splitting scheme is used to achieve the high efficiency. Numerical results are given to verify the absorbing performance and efficiency of the proposed CPML.

Original language	English
Pages (from-to)	1970-1974
Number of pages	5
Journal	IEEE Antennas and Wireless Propagation Letters
Volume	21
Issue number	10
DOIs	https://doi.org/10.1109/LAWP.2022.3186986
State	Published - 1 Oct 2022
Externally published	Yes

Keywords

Convolution perfectly matched layer (CPML)
Laguerre polynomials
finite-difference time-domain (FDTD)

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10.1109/LAWP.2022.3186986

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title = "The Convolutional Perfectly Matched Layer for an Efficient 3-D WLP-FDTD Method",

abstract = "In this letter, the convolution perfectly matched layer (CPML) is modified and implemented for an efficient 3-D finite-difference time-domain method with weighted Laguerre polynomials (WLP-FDTD). The formulations are derived from the CPML equations for conventional WLP-FDTD. A factorization-splitting scheme is used to achieve the high efficiency. Numerical results are given to verify the absorbing performance and efficiency of the proposed CPML.",

keywords = "Convolution perfectly matched layer (CPML), Laguerre polynomials, finite-difference time-domain (FDTD)",

author = "Bin Zou and Jincheng Chang and Shuo Liu and Lamei Zhang",

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AU - Zou, Bin

AU - Chang, Jincheng

AU - Liu, Shuo

AU - Zhang, Lamei

PY - 2022/10/1

Y1 - 2022/10/1

N2 - In this letter, the convolution perfectly matched layer (CPML) is modified and implemented for an efficient 3-D finite-difference time-domain method with weighted Laguerre polynomials (WLP-FDTD). The formulations are derived from the CPML equations for conventional WLP-FDTD. A factorization-splitting scheme is used to achieve the high efficiency. Numerical results are given to verify the absorbing performance and efficiency of the proposed CPML.

AB - In this letter, the convolution perfectly matched layer (CPML) is modified and implemented for an efficient 3-D finite-difference time-domain method with weighted Laguerre polynomials (WLP-FDTD). The formulations are derived from the CPML equations for conventional WLP-FDTD. A factorization-splitting scheme is used to achieve the high efficiency. Numerical results are given to verify the absorbing performance and efficiency of the proposed CPML.

KW - Convolution perfectly matched layer (CPML)

KW - Laguerre polynomials

KW - finite-difference time-domain (FDTD)

UR - https://www.scopus.com/pages/publications/85133756001

U2 - 10.1109/LAWP.2022.3186986

DO - 10.1109/LAWP.2022.3186986

M3 - 文章

AN - SCOPUS:85133756001

SN - 1536-1225

VL - 21

SP - 1970

EP - 1974

JO - IEEE Antennas and Wireless Propagation Letters

JF - IEEE Antennas and Wireless Propagation Letters

IS - 10

ER -

The Convolutional Perfectly Matched Layer for an Efficient 3-D WLP-FDTD Method

Abstract

Keywords

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