A Multifrequency Cross-Correlated Contrast Source Inversion Method Using Phaseless Measurements of the Total Fields

IEEE Transactions on Geoscience and Remote Sensing(2023)

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摘要
Without phase information of the measured field data, the design complexity of the observation equipment can be greatly simplified. In the meantime, the phaseless data inverse scattering problems counter more serious nonlinearity and ill-posedness compared to the full data ones. In this article, a multifrequency cross-correlated contrast source inversion (CSI) method using phaseless measurements of the total fields (referred to as PD-CC-CSI) is proposed. By introducing the cross-correlated error term to the cost functional, PD-CC-CSI shows better robustness against data noise and challenges in more complicated inversion scenarios. Inverted results with transversal magnetic (TM) polarized synthetic and experimental data demonstrate the advantages of PD-CC-CSI in comparison to the phaseless data CSI (PD-CSI) method and its variant PD-MR-CSI. In addition, an empirical approach has been proposed to effectively determine the optimal inverted results. Since a fast algorithm can be straightforwardly applied, phaseless inversion with multifrequency data can be done within a few minutes.
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关键词
Inverse problems,Costs,Phase measurement,Neural networks,Monitoring,Frequency-domain analysis,Sun,Cross-correlated error,multifrequency inversion,phaseless data contrast source inversion (PD-CSI),phaseless data inverse scattering problem,transversal magnetic (TM)
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