Inversion of Multifrequency Data With the Cross-Correlated Contrast Source Inversion Method

Shilong Sun*, Bert-Jan Kooij, Alexander G. Yarovoy

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

5 Citations (Scopus)
17 Downloads (Pure)


Cross-correlated contrast source inversion (CC-CSI) is a nonlinear iterative inversion method that is proposed recently for solving the inverse scattering problems. In CC-CSI, a cross-correlated error is constructed and introduced to the cost functional, which improves the inversion ability when compared to the classical design of the cost functional by exploiting the mismatch between the data error and state error. In this paper, the multifrequency inversion for electromagnetic waves is considered and a multifrequency version of CC-CSI is proposed. Numerical and experimental inversion results of both transverse magnetic and transverse electric polarization demonstrate that when multifrequency data are available, CC-CSI still outperforms the multiplicative-regularized CSI method in the inversion of more complicated scatterers.

Original languageEnglish
Pages (from-to)710-723
Number of pages14
JournalRadio Science
Issue number6
Publication statusPublished - 2018

Bibliographical note



  • cross-correlated contrast source inversion (CC-CSI)
  • multifrequency inversion
  • multiplicative-regularized CSI (MR-CSI)
  • nonlinear iterative inversion
  • Transverse electric (TE)
  • transverse magnetic (TM)


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