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首页> 外文期刊>Geoscience and Remote Sensing, IEEE Transactions on >Subspace-Based Optimization Method for Inverse Scattering Problems Utilizing Phaseless Data
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Subspace-Based Optimization Method for Inverse Scattering Problems Utilizing Phaseless Data

机译:基于子空间的无相数据逆散射问题优化方法

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This paper presents a novel variation of the subspace-based optimization method (SOM) to reconstruct the scatterer's permittivity profile by utilizing only phaseless measurements (i.e., intensity data of the total field with no phase information). Based on spectrum analysis, the contrast source is partitioned into two orthogonally complementary portions (viz., deterministic and ambiguous portions). The original SOM's procedure to obtain the deterministic portion has to be modified in order to accommodate the lack of phase information while the ambiguous portion is determined by another nonlinear optimization. The numerical results presented for the two examples of scatterers under transverse-electric incidence have demonstrated that the proposed method is capable of reconstructing complicated patterns with rapid rate of convergence and robust immunity to noise.
机译:本文提出了一种基于子空间的优化方法(SOM)的新颖变体,可通过仅利用无相位测量(即不具有相位信息的整个场的强度数据)来重建散射体的介电常数分布。根据频谱分析,将对比源划分为两个正交互补的部分(即确定性部分和歧义部分)。为了适应相位信息的缺乏,而模棱两可的部分由另一个非线性优化方法确定时,必须修改原始SOM获取确定性部分的过程。对于在横向电入射下的两个散射体示例给出的数值结果表明,该方法能够以快速的收敛速度和强大的抗噪能力重建复杂的模式。

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