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A Modified Major Current Coefficients Method for Inverse Scattering Problems Using Multiple-Frequency Data
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DOI：10.1109/LAWP.2022.3165080.png)
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摘要
En 中文
In this letter, a modified major current coefficients method (M-MCC), which combines the major current coefficients method (MCC), the hierarchical scheme, generalized Tikhonov regularization, and frequency rejection mechanism is proposed to solve inverse scattering problems using multiple-frequency data. The M-MCC utilizes the reconstruction results obtained at lower frequencies as prior information to improve the higher frequency result. The hierarchical scheme utilizes the reconstruction results of the lower frequency to refine the area of objects by using a threshold to judge if the area includes the objects. The inversion at higher frequencies will only be done for the refined area instead of the domain of interests. The generalized Tikhonov regularization is used at higher frequencies, which makes use of the reconstruction results at lower frequencies. In addition, the frequency rejection mechanism also utilizes the result of the lower frequency to exclude the frequencies that have invalid data. The proposed method outperforms the MCC method, which is verified through simulations.
Keyword:
Inverse problems
Permittivity
Noise level
Iterative methods
Image reconstruction
Time-frequency analysis
Receiving antennas
Hierarchical strategy
inverse scattering
noniterative method
regularization
singular value decomposition
期刊
IF:
4.8
论文数:
1.0W
被引数:
2.8W
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Inverse scattering problems with multifrequency data: Reconstruction capabilities and solution strategies多频数据的逆散射问题: 重建能力和解决策略
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