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document
Sun, S. (author), Kooij, B.J. (author), Yarovoy, Alexander (author), Jin, T. (author)
In this paper, a novel linear method for shape reconstruction is proposed based on the generalized multiple measurement vectors (GMMV) model. Finite difference frequency domain (FDFD) is applied to discretized Maxwell’s equations, and the contrast sources are solved iteratively by exploiting the joint sparsity as a regularized...
journal article 2018
document
Sun, S. (author), Kooij, B.J. (author), Yarovoy, Alexander (author)
The linear shape reconstruction method based on the generalized multiple measurement vectors model is a newly proposed approach which is able to effectively retrieve the morphological information of dielectric/metallic scatterers with competitive imaging resolution. In this letter, we have extended this approach to quantitative inversion, and...
journal article 2018
document
Sun, S. (author), Kooij, B.J. (author), Jin, T. (author), Yarovoy, Alexander (author)
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...
journal article 2017