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A New Approach of Rotated Staggered Grid FD Method With Unsplit Convolutional PML for GPR

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  • Release time:2019-11-22

  • Affiliation of Author(s):School of Geosciences and Info-Physics, Central South University, Changsha 410083, China

  • Teaching and Research Group:Applied Geophysics

  • Journal:IEEE J-STARS

  • Place of Publication:UNITED STATES

  • Funded by:41374118, 41574116,2014zzts048,2014G005-B,201423,2015CX008

  • Key Words:Frequency-dependent reflection error (FDRE), ground penetrating radar (GPR), ...

  • Abstract:We introduce a novel implementation of a rotated staggered grid (RSG) finite difference (FD) method based on the unsplit convolutional perfectly matched layer (UCPML). The method is carried out using rotated staggered FD operators and a general complex frequency shifted stretching factor. It can offer a number of advantages over the RSG with split convolutional perfectly matched layer (SCPML), such as improving computational efficiency, overcoming the numerical dispersions resulting from the high-frequency propagation and strong contrasts in material, and specifically absorbing ...

  • Co-author:冯德山, 尹小波, 戴前伟, 张彬

  • Indexed by:Applied Research

  • Document Code:DOI:10.1109/JSTARS.2015.2503289

  • Discipline:地质资源与地质工程

  • Document Type:J

  • Volume:9

  • Issue:1

  • Page Number:52-59

  • ISSN No.:1939-1404

  • Translation or Not:no

  • Date of Publication:2016-01-28


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