Inverse scattering for a random potential
Pedro Caro, Tapio Helin, Matti Lassas

TL;DR
This paper addresses the inverse scattering problem for a random Schrödinger equation, demonstrating that the principal symbol of the covariance operator of a Gaussian random potential can be uniquely identified from backscattered data.
Contribution
It establishes the unique determination of the covariance operator's principal symbol from a single backscattering measurement in a random setting, including the full non-linear case for three dimensions.
Findings
Unique identification of covariance principal symbol from backscattering data
Results applicable to the full non-linear inverse problem in 3D
Practical relevance shown through a physical scaling regime
Abstract
In this paper we consider an inverse problem for the -dimensional random Schr\"{o}dinger equation . We study the scattering of plane waves in the presence of a potential which is assumed to be a Gaussian random function such that its covariance is described by a pseudodifferential operator. Our main result is as follows: given the backscattered far field, obtained from a single realization of the random potential , we uniquely determine the principal symbol of the covariance operator of . Especially, for this result is obtained for the full non-linear inverse backscattering problem. Finally, we present a physical scaling regime where the method is of practical importance.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
