Convolutional Perfectly Matched Layer (CPML) for the Pseudospectral Time-Domain (PSTD) Method

Authors

  • Juan Chen Key Laboratory for Physical Electronics and Devices of the Ministry of Education, Xi’an Jiaotong University, 710049, Xi’an, China
  • Jianguo Wang Key Laboratory for Physical Electronics and Devices of the Ministry of Education, Xi’an Jiaotong University, 710049, Xi’an, China , Northwest Institute of Nuclear Technology; P. O. Box 69-15, Xi’an 710024, China

Keywords:

Convolutional perfectly matched layer (CPML), pseudospectral time-domain (PSTD) algorithm

Abstract

In this paper, a perfectly matched layer (PML) medium with complex frequency shifted (CFS) constitutive parameters is introduced into the two-dimensional pseudospectral time-domain (PSTD) algorithm. The absorbing performance and computational efficiency of the method are illustrated by comparing with the PML method. It shows that no matter what spatial discretization is used, the reflection relative error of convolutional perfectly matched layer (CPML) is almost the same as that of the PML method. The total flops counts of the PSTD-CPML method are reduced from 49 to 34 compared with that of the PSTDPML method. This corresponds to an efficiency gain of 1.44 in flops count reduction for the PSTD-CPML method.

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References

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Published

2021-10-06

How to Cite

[1]
J. . Chen and J. . Wang, “Convolutional Perfectly Matched Layer (CPML) for the Pseudospectral Time-Domain (PSTD) Method”, ACES Journal, vol. 28, no. 08, pp. 680–684, Oct. 2021.

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General Submission