Journal of Computational and Applied Mathematics2022,Vol.40119.DOI:10.1016/j.cam.2021.113769

Approximation of radiating waves in the near-field: Error estimates and application to a class of inverse problems

Hawkins, S. C. Ganesh, M. Barkhan, J.
Journal of Computational and Applied Mathematics2022,Vol.40119.DOI:10.1016/j.cam.2021.113769

Approximation of radiating waves in the near-field: Error estimates and application to a class of inverse problems

Hawkins, S. C. 1Ganesh, M. 2Barkhan, J.1
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作者信息

  • 1. Macquarie Univ
  • 2. Colorado Sch Mines
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Abstract

Numerical approximation of radiating waves, with a priori truncation parameter and error estimates, is crucial for efficient simulation of forward and inverse scattering models. Convergence of a series ansatz for the wave field using the classical radiating wave functions is known only when the field is evaluated exterior to a ball circumscribing the configuration. If the configuration comprises non-convex and/or elongated scatterers, evaluation of the scattered field in the interior region of the ball is important for applications including for the far-field-data based inverse problem of identifying the scatterer boundary. In this article we develop a new error estimate for the series ansatz that facilitates identification of the truncation-parameter dependent interior convergence region. This in turn facilitates an estimate-based approach for solving the boundary identification inverse problem. We demonstrate, through numerical experiments, excellent agreement of the theoretical error estimate with respect to the truncation parameter, and the efficiency of the approach to identify scatterer shapes. Crown Copyright (c) 2021 Published by Elsevier B.V. All rights reserved.

Key words

Radiating waves/Far field/Error estimates/Inverse problem/SCATTERING

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出版年

2022
Journal of Computational and Applied Mathematics

Journal of Computational and Applied Mathematics

EISCI
ISSN:0377-0427
被引量1
参考文献量21
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