2008
DOI: 10.1512/iumj.2008.57.3217
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Stable determination of sound-soft polyhedral scatterers by a single measurement

Abstract: We prove optimal stability estimates for the determination of a finite number of sound-soft polyhedral scatterers in R^3 by a single far-field measurement. The admissible multiple polyhedral scatterers satisfy minimal a priori assumptions of Lipschitz type and may include at the same time obstacles, screens and even more complicated scatterers. We characterize any multiple\ud polyhedral scatterer by a size parameter h which is related to the minimal size of the cells of its boundary. In a first step we show th… Show more

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Cited by 38 publications
(43 citation statements)
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“…with C 1 and C 2 depending on the classD obst only. The estimates obtained in Theorem 5.5, in particular the uniform bound (5.4) for R = R 0 + 3 and and the uniform decay (5.5), are the crucial preliminary results that are required to extend the stability results obtained in the acoustic case, in [34] for sound-soft scatterers and in [20] for soundhard scatterers, to the electromagnetic case.…”
Section: Application To the Inverse Scattering Problem For Polyhedralmentioning
confidence: 78%
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“…with C 1 and C 2 depending on the classD obst only. The estimates obtained in Theorem 5.5, in particular the uniform bound (5.4) for R = R 0 + 3 and and the uniform decay (5.5), are the crucial preliminary results that are required to extend the stability results obtained in the acoustic case, in [34] for sound-soft scatterers and in [20] for soundhard scatterers, to the electromagnetic case.…”
Section: Application To the Inverse Scattering Problem For Polyhedralmentioning
confidence: 78%
“…The corresponding stability issue has been treated first in dimension 3 for general sound-soft polyhedral scatterers, [34], with a single scattering measurement and under minimal regularity assumptions. This result has been extended to any dimension and for a more general and versatile class of polyhedral scatterers in [20].…”
Section: Introductionmentioning
confidence: 99%
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“…Through (18) we obtain a velocity W defined only on @D nÀ1 . We extend the velocity W by a linear transport equation described by (25) in Section 4.3 and plug it in (24), then we obtain an updated level set function / n ðxÞ. 4.…”
Section: 1mentioning
confidence: 99%
“…Moreover, if we know in advance that the obstacle D is polygonal, then two incident directions are enough for detecting ð@D; rÞ, see [21] and the references there, while for the Dirchlet case one incident direction is enough, see [1]. For this particular form of the obstacle, stability estimates are also provided in [25]. For general forms of obstacles and for Robin boundary conditions, the local uniqueness question is still an open issue.…”
Section: Introductionmentioning
confidence: 99%