Identification of point-like objects with multifrequency sparse data

Xia Ji, Xiaodong Liu

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

Abstract

The inverse acoustic scattering of point objects using multifrequency sparse measurements is studied. The objects may be a sum of point sources or point-like scatterers. We show that the locations and scattering strengths of the point objects can be uniquely identified by the multifrequency near or far fields taken at sparse sensors. Based on the uniqueness analysis, some direct methods have also been proposed for reconstructing the locations and determining the scattering strengths. The numerical examples are conducted to show the validity and robustness of the proposed numerical methods.

Original languageEnglish
Pages (from-to)A2325-A2343
JournalSIAM Journal on Scientific Computing
Volume42
Issue number4
DOIs
Publication statusPublished - 2020

Keywords

  • Inverse scattering
  • Multifrequency
  • Sampling method
  • Sparse data
  • Uniqueness

Fingerprint

Dive into the research topics of 'Identification of point-like objects with multifrequency sparse data'. Together they form a unique fingerprint.

Cite this