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Analyzing Electromagnetic Scattering Using Characteristic Basis Function Method with Compressed Sensing

机译:用压缩感测的特征基功能法分析电磁散射

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摘要

In this paper, the efficient analysis of electromagnetic scattering from objects is performed utilizing the characteristic basis function method (CBFM) with the compressed sensing (CS) technique. CBFM generates sets of high-level basis functions, i.e. the characteristic basis function (CBF), defined over macro domains of the object under discussion, to significantly reduce the matrix size and storage and make the reduced linear system easily manageable and solvable. In the conventional fulfillment, to generate the CBF, a series of matrix equations need to be solved repeatedly with various excitations of multiple incident angles and different polarizations. With the help of CS, much fewer excitations are necessary to solve the matrix equations, and one can obtain the measurements of the induced currents accordingly. Finally, the orthogonal matching pursuit (OMP) method is used to reconstruct the real induced currents and from which the CBF is generated. Numerical examples are included to demonstrate the performance of the proposed method.
机译:在本文中,利用与压缩传感(CS)技术的特性基函数方法(CBFM)进行电磁散射的物体的有效的分析。 CBFM产生套高层基函数,即特性基函数(CBF),定义在所讨论的对象的宏域,以显著减小矩阵尺寸和存储,并减小线性系统易于管理和可解。在传统的实现,以生成所述CBF,一系列矩阵方程需要与多个入射角度和不同偏振的各种激励反复解决。与CS的帮助下,少得多的激励是解决矩阵方程必需的,并且一个可以相应地得到的感应电流的测量结果。最后,正交匹配追踪(OMP)方法被用来重建实际感应电流,并从其中产生CBF。包括数值例子证明了该方法的性能。

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