Stable determination of sound-hard polyhedral scatterers by a minimal number of scattering measurements
Hongyu Liu, Michele Petrini, Luca Rondi, Jingni Xiao

TL;DR
This paper establishes optimal stability estimates for identifying sound-hard polyhedral scatterers in multiple dimensions using a minimal number of far-field measurements, extending previous results from sound-soft cases.
Contribution
It extends stability estimates from sound-soft to sound-hard polyhedral scatterers, providing explicit dependence on the minimal cell size and reducing the number of measurements needed.
Findings
Stability estimates with N measurements for general polyhedral scatterers.
Fewer measurements (N-1 or 1) are sufficient for polyhedra in 2D and 3D.
Explicit dependence on minimal cell size h in stability estimates.
Abstract
The aim of the paper is to establish optimal stability estimates for the determination of sound-hard polyhedral scatterers in , , by a minimal number of far-field measurements. This work is a significant and highly nontrivial extension of the stability estimates for the determination of sound-soft polyhedral scatterers by far-field measurements, proved by one of the authors, to the much more challenging sound-hard case. The admissible polyhedral scatterers satisfy minimal a priori assumptions of Lipschitz type and may include at the same time solid obstacles and screen-type components. In this case we obtain a stability estimate with far-field measurements. Important features of such an estimate are that we have an explicit dependence on the parameter representing the minimal size of the cells forming the boundaries of the admissible polyhedral…
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