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Application of Compressive Sensing in Solving Monostatic Scattering Problems

机译:压缩感测在求解单体散射问题中的应用

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In this paper, a new CS-FMM method that conjugates compressive sensing (CS) with the fast multipole method (FMM) is proposed and validated to efficiently solve monostatic scattering from an arbitrary conducting target. The far zone scattered fields are viewed as the signal of interest. CS is introduced to reduce the number of computations. A new set of incident sources has been generated according to CS. By solving the matrix equations under the new set of incident sources and calculating the related far zone scattered fields, the measurements of the aforementioned signal can be derived. Then, the CS inversion is employed to reconstruct the desired monostatic far zone scattered fields by finding the smallest possible ?1 norm solution. Monostatic radar cross section (RCS) from several conducting targets is studied by CS-FMM and by the traditional FMM. And the results are compared with each other to illustrate the accuracy and efficiency of the proposed method.
机译:在本文中,提出了一种新的CS-FMM方法,其与快速多极法(FMM)共轭压缩检测(CS),并验证以有效地从任意导电目标求解单体散射。远区分散的字段被视为感兴趣的信号。引入CS以减少计算的数量。根据CS生成了一组新的事件来源。通过求解新的入射源下的矩阵方程并计算相关的远区散射场,可以导出上述信号的测量。然后,采用CS反转来通过找到最小的α1规范解决方案来重建所需的单静电远区散射场。通过CS-FMM和传统的FMM研究来自几种导电靶标的单体雷达横截面(RCS)。结果彼此比较,以说明所提出的方法的准确性和效率。

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