Cross-Correlated Contrast Source Inversion

Shilong Sun, Bert Jan Kooij, Tian Jin, Alexander G. Yarovoy

Research output: Contribution to journalArticleScientificpeer-review

11 Citations (Scopus)
18 Downloads (Pure)


In this paper, we improved the performance of the contrast source inversion (CSI) method by incorporating a so-called cross-correlated cost functional, which interrelates the state error and the data error in the measurement domain. The proposed method is referred to as the cross-correlated CSI. It enables better robustness and higher inversion accuracy than both the classical CSI and multiplicative regularized CSI (MR-CSI). In addition, we show how the gradient of the modified cost functional can be calculated without significantly increasing the computational burden. The advantages of the proposed algorithms are demonstrated using a 2-D benchmark problem excited by a transverse magnetic wave as well as a transverse electric wave, respectively, in comparison with classical CSI and MR-CSI.
Original languageEnglish
Pages (from-to)2592 - 2603
Number of pages12
JournalIEEE Transactions on Antennas and Propagation
Issue number5
Publication statusPublished - 23 Feb 2017


  • Contrast source inversion (CSI)
  • cross-correlated cost functional
  • finite difference frequency domain (FDFD)
  • multiplicative regularized contrast source inversion (MR-CSI)
  • transverse electric (TE)
  • transverse magnetic (TM)

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