合成孔径雷达的过渡球自动对焦

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2023-11-20 DOI:10.1137/22m153570x
Mikhail Gilman, Semyon V. Tsynkov
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引用次数: 0

摘要

SIAM影像科学杂志,第16卷,第4期,2144-2174页,2023年12月。摘要。地球电离层电子数密度的湍流波动会影响星载合成孔径雷达(SAR)的性能。以前,我们已经量化了过渡层SAR图像可能退化的程度,因为它取决于电离层的状态和SAR仪器的参数。然而,没有人试图减轻电离层湍流的不利影响。在当前的工作中,我们提出了一种新的基于优化的自动对焦算法,该算法有助于纠正星载SAR图像的湍流畸变。与文献中可用的传统自动对焦程序不同,新算法允许SAR信号的相位扰动不仅依赖于慢时间,而且依赖于目标坐标。这种依赖性是分析由于湍流引起的图像畸变的核心,但在传统自动对焦的情况下,由于天线位置的不确定性导致的畸变是不存在的。
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Transionospheric Autofocus for Synthetic Aperture Radar
SIAM Journal on Imaging Sciences, Volume 16, Issue 4, Page 2144-2174, December 2023.
Abstract. Turbulent fluctuations of the electron number density in the Earth’s ionosphere may hamper the performance of spaceborne synthetic aperture radar (SAR). Previously, we have quantified the extent of the possible degradation of transionospheric SAR images as it depends on the state of the ionosphere and parameters of the SAR instrument. Yet no attempt has been made to mitigate the adverse effect of the ionospheric turbulence. In the current work, we propose a new optimization-based autofocus algorithm that helps correct the turbulence-induced distortions of spaceborne SAR images. Unlike the traditional autofocus procedures available in the literature, the new algorithm allows for the dependence of the phase perturbations of SAR signals not only on slow time but also on the target coordinates. This dependence is central for the analysis of image distortions due to turbulence, but in the case of traditional autofocus where the distortions are due to uncertainties in the antenna position, it is not present.
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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