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Analyzing electromagnetic scattering using characteristic basis function method with compressed sensing

机译:使用压缩感知的特征基函数方法分析电磁散射

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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,利用特征基函数方法(CBFM)和压缩传感(CS)技术对对象的电磁散射进行了有效分析。 CBFM生成高级基函数集,即在讨论对象的宏域上定义的特征基函数(CBF),以显着减小矩阵大小和存储量,并使简化后的线性系统易于管理和解决。在常规实现中,为了生成CBF,需要使用多个入射角和不同极化的各种激励来反复求解一系列矩阵方程。在CS的帮助下,求解矩阵方程式所需的激励要少得多,并且可以相应地获得感应电流的测量值。最后,使用正交匹配追踪(OMP)方法重建实际感应电流,并从中生成CBF。数值例子包括来证明所提出的方法的性能。

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