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Fourier Based 3D ISAR Near-Field Imaging and Radar Cross Section Transformation

机译:基于傅立叶的3D ISAR近场成像和雷达横截面变换

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摘要

For a linear near-field scattering scenario with two antennas, a general relation between transmitter and receiver is presented, which is based on a plane-wave expansion of the Green's function. It is used to derive an expression for the case of a monostatic measurement setup, allowing to compute the far-field radar cross section from near-field measurement samples. By choosing an example with multiple reflections at the scatterer, the algorithm is validated and it is investigated how the 3D spatial reflectivity distribution can be reconstructed using Fourier transform techniques. It turns out that multiple interactions limit the accuracy of the far-field prediction but hardly effect the spatial image.
机译:对于具有两个天线的线性近场散射场景,呈现了发射器和接收器之间的一般关系,这是基于绿色功能的平面波扩展。它用于导出用于单声道测量设置的情况的表达式,允许从近场测量样本计算远场雷达横截面。通过在散射器处选择具有多个反射的示例,验证了算法,并研究了如何使用傅立叶变换技术重建3D空间反射率分布。事实证明,多个相互作用限制了远场预测的准确性,但几乎没有影响空间图像。

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