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- W4387682308 abstract "The challenging task of solving inverse scattering problems (ISPs) is due to their inherent ill-posedness and nonlinearity. To alleviate ill-posedness, a novel hybrid regularization method (modified Fourier bases-expansion regularization and nonconvex regularization) is proposed. The modified Fourier bases-expansion (MFBE) regularization, directly applied to modeling, introduces a new Fourier coefficient tensor that takes into account information not only from the four corners but also from the four edges. Nonconvex regularization (NR), applied to the unknown, adds prior information describing the sparsity of scatterers to the reconstruction task. Then, in virtue of a new recently established contraction integral equation scattering model, which effectively reduces the nonlinearity of the ISPs, we propose a new cost function with the above hybrid regularization. The newly established cost function is solved by the alternating minimization scheme, where the contrast subproblem is simplified by the least square method and the proximal operator. Numerical experiments are performed on synthetic and experimental data to verify the ability of the proposed method to recover high permittivity objects." @default.
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- W4387682308 date "2023-01-01" @default.
- W4387682308 modified "2023-10-17" @default.
- W4387682308 title "A Novel Hybrid Regularization Method for Solving Inverse Scattering Problems" @default.
- W4387682308 doi "https://doi.org/10.1109/tap.2023.3323083" @default.
- W4387682308 hasPublicationYear "2023" @default.
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