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Moment method and iterative reconstruction of two-dimensional complex permittivity by using effective modes with multiple sources in the presence of noise

机译:存在噪声时采用多源有效模式的矩量法和二维复介电常数的迭代重建

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摘要

An iterative hybrid algorithm combining the steepest descent algorithm of Levenberg-Marquardt and the simulated annealing algorithm is used for reconstructing the complex permittivity of a two-dimensional, high-contrast, large object. The scattered fields calculated in a cost function are expanded in angular spectral modes. The “illposedness” in the inversion due to the noise in the scattered fields is regularized by keeping only the effective modes and filtering out the higher angular spectral modes. The object is discretized into N square cells of unknown permittivities and N or larger number of effective modes (P) are needed for this spectral domain iterative method to reconstruct the shape and the permittivity distribution of the object. When N > P, multiple view (K) and effective modes of each view (P) make the reconstruction possible if N ≤ PK.
机译:结合Levenberg-Marquardt最陡下降算法和模拟退火算法的迭代混合算法用于重建二维高对比度大物体的复介电常数。在成本函数中计算出的散射场在角谱模式下扩展。通过仅保留有效模态并滤除较高的角度谱模态,可以归因于散射场中的噪声而使反演中的“不适”得到正则化。将对象离散化为未知介电常数的N个方格,此光谱域迭代方法需要N个或更多数量的有效模式(P)来重建对象的形状和介电常数分布。当N> P时,如果N≤PK,则多视图(K)和每个视图的有效模式(P)使得重构成为可能。

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