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Subspace-Based Variational Born Iterative Method for Solving Inverse Scattering Problems

机译:基于子空间的变分迭代迭代法求解逆散射问题

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In this letter, a subspace-based variational Born iterative method (S-VBIM) is proposed to solve the inverse scattering problem. The proposed method retrieves the deterministic subspace of the variational induced current at the beginning of the iterative computation, and thus, the process of the total electric field approximation is more accurate than the Born approximation does in VBIM. Therefore, S-VBIM achieves faster convergence speed and higher solution accuracy than VBIM. In addition, since the singular value decomposition, which is the main process of retrieving the variational induced current for radiation operator matrix, only needs to be performed once, the computational cost is reduced significantly. Finally, the numerical results validate the effectiveness of S-VBIM and comparisons with VBIM are made.
机译:在这封信中,提出了一种基于子空间的变分Born迭代方法(S-VBIM)来解决逆散射问题。所提出的方法在迭代计算的开始就检索了变化感应电流的确定性子空间,因此,总电场逼近的过程比Born逼近在VBIM中更精确。因此,与VBIM相比,S-VBIM具有更快的收敛速度和更高的解决方案精度。另外,由于奇异值分解是取回辐射算子矩阵的变化感应电流的主要过程,因此只需执行一次,因此大大降低了计算成本。最后,数值结果验证了S-VBIM的有效性,并与VBIM进行了比较。

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