Convolutional Perfectly Matched Layer (CPML) for the Pseudospectral Time-Domain (PSTD) Method
Keywords:
Convolutional perfectly matched layer (CPML), pseudospectral time-domain (PSTD) algorithmAbstract
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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