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Continuation Schemes for Shape Detection in Inverse Acoustic Scattering Problems

S.-W. Na1, L.F. Kallivokas2

Department of Civil, Architectural and Environmental Engineering, The University of Texas at Austin, Austin, TX, USA.
Department of Civil, Architectural and Environmental Engineering, The University of Texas at Austin, Austin, TX, USA.

Computer Modeling in Engineering & Sciences 2008, 35(1), 73-90. https://doi.org/10.3970/cmes.2008.035.073

Abstract

We discuss simple numerical schemes, termed continuation schemes, for detecting the location and shape of a scatterer embedded in a host acoustic medium, when considering scant measurements of the scattered acoustic pressure in the vicinity (near- or far-field) of the obstacle. The detection is based on incomplete information, i.e., the measurement stations are distributed in the backscatter region and do not circumscribe the sought scatterer. We consider sound-hard scatterers, and use boundary integral equations for the underlying numerical scheme. We favor amplitude-based misfit functionals, and use frequency- and directionality-continuation schemes to resolve the scatterer's location and shape. We report on numerical experiments that attest to the promise of the schemes.

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APA Style
Na, S., Kallivokas, L. (2008). Continuation schemes for shape detection in inverse acoustic scattering problems. Computer Modeling in Engineering & Sciences, 35(1), 73-90. https://doi.org/10.3970/cmes.2008.035.073
Vancouver Style
Na S, Kallivokas L. Continuation schemes for shape detection in inverse acoustic scattering problems. Comput Model Eng Sci. 2008;35(1):73-90 https://doi.org/10.3970/cmes.2008.035.073
IEEE Style
S. Na and L. Kallivokas, “Continuation Schemes for Shape Detection in Inverse Acoustic Scattering Problems,” Comput. Model. Eng. Sci., vol. 35, no. 1, pp. 73-90, 2008. https://doi.org/10.3970/cmes.2008.035.073



cc Copyright © 2008 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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