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首页> 外文期刊>Journal of Applied Remote Sensing >Short-range ground-based synthetic aperture radar imaging: performance comparison between frequency-wavenumber migration and back-projection algorithms
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Short-range ground-based synthetic aperture radar imaging: performance comparison between frequency-wavenumber migration and back-projection algorithms

机译:短距离地面合成孔径雷达成像:频率-波数偏移和反投影算法之间的性能比较

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摘要

Two popular synthetic aperture radar (SAR) reconstruction algorithms, namely the backprojection (BP) and the frequency wavenumber (ω - k) algorithms, were tested and compared against each other, especially for their use in ground-based (GB) SAR applications directed to foreign object debris removal. For this purpose, an experimental setup in a semi-anechoic chamber room was accomplished to obtain near-field SAR images of objects on the ground. Then, the 90 to 95 GHz scattering data were acquired by using a stepped frequency continuous-wave radar operation. The performances of the setup and the imaging algorithms were then assessed by exploiting various metrics including point spread function, signal-to-clutter ratio, integrated side-lobe ratio, and computational complexity. Results demonstrate that although both algorithms produce almost accurate images of targets, the BP algorithm is shown to be superior to the ω - k algorithm due to its some inherent advantages specifically suited for short-range GB-SAR applications.
机译:测试并比较了两种流行的合成孔径雷达(SAR)重建算法,即反投影(BP)和频率波数(ω-k)算法,特别是将其用于定向(SAR)的地面(GB)SAR应用中去异物杂物清除。为此,完成了在半消声室中的实验装置,以获得地面上物体的近场SAR图像。然后,通过使用步进频率连续波雷达操作获取90至95 GHz的散射数据。然后通过利用各种指标(包括点扩散函数,信杂比,积分旁瓣比和计算复杂度)来评估设置和成像算法的性能。结果表明,尽管这两种算法都能产生几乎准确的目标图像,但由于BP算法固有的一些优势,特别适用于短距离GB-SAR应用,因此BP算法优于ω-k算法。

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