Cross-Correlated Contrast Source Inversion

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...

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Bibliographic Details
Published in:IEEE transactions on antennas and propagation 2017-05, Vol.65 (5), p.2592-2603
Main Authors: Shilong Sun, Kooij, Bert Jan, Tian Jin, Yarovoy, Alexander G.
Format: Article
Language:English
Subjects:
Antennas
Contrast source inversion (CSI)
cross-correlated cost functional
finite difference frequency domain (FDFD)
Inverse problems
Iterative methods
Measurement uncertainty
multiplicative regularized contrast source inversion (MR-CSI)
Scattering
transverse electric (TE)
transverse magnetic (TM)
Two dimensional displays
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Summary: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.
ISSN:0018-926X
1558-2221
DOI:10.1109/TAP.2017.2673758