AI & ML
Numerical reconstruction of polygonal obstacles by diffracted waves
arXiv cs.NA0 views
arXiv:2610.31271v1 Announce Type: new Abstract: We present a numerical method for recovering rigid polygonal obstacles in two dimensions, based on the diffraction-based inverse scattering theory of Bao, Chen, Lu, and Xiong. A single pulse is emitted from a point source, and the resulting wave field is measured on a receiver curve. After isolating the diffracted signals, we recover the visible vertices from arrival times and the corner orientations and opening angles from amplitudes. The use of amplitude information permits local reconstruction in the reflection shadow, where reflected waves do not reach the receiver. The amplitudes also determine the direction of a shadowed edge adjacent to a visible vertex, enabling local non-line-of-sight imaging. Numerical experiments for a convex corner, a concave corner, a triangle, a pentagon and a star-shaped obstacle confirm that the visible portion of the boundary can be recovered stably from diffracted signals. A further convex-corner test with additive noise at level $0.2\%$ on the single arc $L_1$ confirms that the tip and opening remain recoverable.
Source:https://arxiv.org/abs/2610.31271PreviousFinite Element Approximation of Rotating MHD-Boussinesq Flows with Nonlinear Power-Law ViscosityNextSketching Outside the Hilbert Space for the Infinite-Dimensional Randomised SVD
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