Monostatic Radar Cross Section Near-Field Far-Field Transformations by Multilevel Plane-Wave Decomposition
Monostatic Radar Cross Section Near-Field Far-Field Transformations by Multilevel Plane-Wave Decomposition
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DOI：
10.1109/tap.2014.2323429
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发表时间：
2014-08-01
影响因子：
5.7
通讯作者：
Eibert, Thomas F.
中科院分区：
文献类型：
--
作者：
Schnattinger, Georg;Mauermayer, Raimund A. M.;Eibert, Thomas F.
从近场数据中检索远场雷达截面信息是一种行之有效的方法。然而，现有算法对底层测量过程施加了许多限制。在本文中，提出了基于平面波分解和层次分组的算法。因此，可以在充分考虑雷达天线特性的情况下处理具有任意极化信息的任意位置的单基地近场样本，其中计算复杂度与其他快速方法相同。该方法使用基于笛卡尔平面波散射矩阵的散射系数作为求解变换问题的未知数。通过该矩阵描述，只需一次变换即可获得完整的偏振信息。给出数值例子证明了该算法的实用性。
Retrieving far-field radar cross-section information from near-field data is a well-established methodology. However, existing algorithms impose many restrictions on the underlying measurement procedure. In this paper, algorithms are presented which are based on plane-wave decompositions and hierarchical groupings. Consequently, arbitrarily located monostatic near-field samples with arbitrary polarization information can be processed with full consideration of the radar antenna characteristics, where the computational complexity is identical to other fast approaches. The method uses scattering coefficients based on a Cartesian plane-wave scattering matrix as unknowns for the solution of the transformation problem. With this matrix description, the complete polarimetric information is obtained with a single transformation. Numerical examples are given to prove the usefulness of the algorithm.