Transionospheric Autofocus for Synthetic Aperture Radar

被引:1
|
作者
Gilman, Mikhail [1 ]
Tsynkov, Semyon V. [1 ]
机构
[1] North Carolina State Univ, Dept Math, Raleigh, NC 27695 USA
来源
SIAM JOURNAL ON IMAGING SCIENCES | 2023年 / 16卷 / 04期
关键词
synthetic aperture radar; ionosphere; autofocus; optimization; PHASE GRADIENT AUTOFOCUS; SAR; SCINTILLATION; INTERFEROMETRY; SIMULATION; TUTORIAL; MODEL;
D O I
10.1137/22M153570X
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:2144 / 2174
页数:31
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