A Regularised Total Least Squares Approach for 1D Inverse Scattering

Andreas Tataris, Tristan van Leeuwen

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

We study the inverse scattering problem for a Schrödinger operator related to a static wave operator with variable velocity, using the GLM (Gelfand–Levitan–Marchenko) integral equation. We assume to have noisy scattering data, and we derive a stability estimate for the error of the solution of the GLM integral equation by showing the invertibility of the GLM operator between suitable function spaces. To regularise the problem, we formulate a variational total least squares problem, and we show that, under certain regularity assumptions, the optimisation problem admits minimisers. Finally, we compute numerically the regularised solution of the GLM equation using the total least squares method in a discrete sense.

Original languageEnglish
Article number216
Pages (from-to)1-24
JournalMathematics
Volume10
Issue number2
DOIs
Publication statusPublished - 2 Jan 2022

Bibliographical note

Funding Information:
Funding: This work was supported by the Utrecht Consortium for Subsurface Imaging (UCSI).

Publisher Copyright:
© 2022 by the authors. Licensee MDPI, Basel, Switzerland.

Keywords

  • Gelfand–Levithan–Marchenko equation
  • Inverse scattering
  • Total least squares

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