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A regularization method in the electromagnetic inverse scattering problem

机译:电磁逆散射问题的正则化方法

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Based on the normalization of measurement data equations of the inverse scattering problem, a new regularization matrix is proposed. It can eliminate the unfavorable effects caused by difference of distances between field-point or source-point and target region, reduce the loss of useful information in regularization procedure, and decrease condition numbers of the ill-posed problems. Inversion for conductivity distribution of two-dimensional axisymmetric inhomogeneous media is carried out by combing this new regularization method with distorted Born iterative method. Simulation results show that compared with the conventional method, the new regularization method is of better stability, quicker convergence, higher accuracy of inversion and higher resolution.
机译:基于反散射问题的测量数据方程的归一化,提出了一种新的正则化矩阵。它可以消除由场点或源点与目标区域之间的距离差异引起的不利影响,减少正则化过程中有用信息的丢失,并减少不适定问题的条件数。通过将此新的正则化方法与扭曲的Born迭代方法相结合,进行了二维轴对称非均匀介质电导率分布的反演。仿真结果表明,与常规方法相比,新的正则化方法具有更好的稳定性,更快的收敛速度,更高的反演精度和更高的分辨率。

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