论文标题
基于多分辨率子空间的优化方法，用于检索2D完美电导体
Multi-Resolution Subspace-Based Optimization Method for the Retrieval of 2D Perfect Electric Conductors
论文作者
论文摘要
完美的电导导体（PEC）正在成像，将基于子空间的优化方法（SOM）整合在迭代多尺度方案（IMSA）中。如果没有关于散射器的数量或/和/和/和/和/和（已知的）探测源的EM散射相互作用的A A-Priori信息，则根据表面电场积分方程式进行了（已知的）探测源，从散射场样品中检索了基于段的PEC表示。提出的IMSA-SOM反转方法通过评估重建精度，噪声的鲁棒性以及一些比较的计算效率来验证合成和实验数据。
Perfect Electric Conductors (PECs) are imaged integrating the subspace-based optimizationmethod (SOM) within the iterative multi-scaling scheme (IMSA). Without a-priori information on the number or/and the locations of the scatterers and modelling their EM scattering interactions with a (known) probing source in terms of surface electric field integral equations, a segment-based representation of PECs is retrieved from the scattered field samples. The proposed IMSA-SOM inversion method is validated against both synthetic and experimental data by assessing the reconstruction accuracy, the robustness to the noise, and the computational efficiency with some comparisons, as well.
