Inversion of Multi-frequency Data with the Cross-Correlated Contrast Source Inversion Method

Abstract

Cross-correlated contrast source inversion (CC-CSI) is a non-linear 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 multi-frequency inversion for electromagnetic waves is considered and a multi-frequency version of CC-CSI is proposed. Numerical and experimental inversion results of both transverse magnetic (TM) and transverse electric (TE) polarization demonstrate that, when multi-frequency data are available, CC-CSI still outperforms the multiplicative-regularized CSI method (MR-CSI) in the inversion of more complicated scatterers.

References in corpus (4)

• Cross-correlated Contrast Source Inversion
• Linearized 3-D Electromagnetic Contrast Source Inversion and Its Applications to Half-space Configurations
• A Linear Model for Microwave Imaging of Highly Conductive Scatterers
• A Linear Method for Shape Reconstruction based on the Generalized Multiple Measurement Vectors Model