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Extension of the chirp scaling algorithm to 3-D near-field wideband radar imaging

机译:线性调频标度算法扩展到3D近场宽带雷达成像

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The authors' objective is to develop an efficient algorithm to focus two-dimensional and three-dimensional SAR images under the following extreme conditions: large coherent integration angles and high bandwidth-to-centre-frequency ratios. These conditions constitute a common situation in wideband high-resolution SAR configurations, as in anechoic chambers and in ground-based systems. The algorithm presented is an extension of the well known chirp scaling algorithm (CSA). First, the original 2-D CSA is generalised by extending the formulation from data obtained with a linear aperture to data measured by a planar synthetic aperture. Moreover, a compact generalised formula of the impulse response function in the three-dimensional frequency domain is presented. These extensions enable the development of a 3-D algorithm under the aforementioned conditions. Finally, the algorithm has been implemented and tested with satisfying results.
机译:作者的目标是开发一种有效的算法,以在以下极端条件下聚焦二维和三维SAR图像:相干积分角较大,带宽与中心频率之比较高。这些条件构成了宽带高分辨率SAR配置中的常见情况,例如在消声室和地面系统中。提出的算法是众所周知的线性调频缩放算法(CSA)的扩展。首先,通过将公式从使用线性孔径获得的数据扩展到通过平面合成孔径测量的数据,来概括原始的2-D CSA。此外,给出了三维频域中脉冲响应函数的一个紧凑的广义公式。这些扩展使得能够在上述条件下开发3-D算法。最终,该算法已经实现并经过测试,结果令人满意。

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