Comparative analysis of performance for optimization-based transionospheric SAR autofocus

IF 1.6 4区 地球科学 Q3 ASTRONOMY & ASTROPHYSICS
Radio Science Pub Date : 2025-02-01 DOI:10.1029/2024RS008168
Mikhail Gilman;Semyon Tsynkov
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引用次数: 0

Abstract

For a spaceborne synthetic aperture radar (SAR) operating on low frequencies (such as P-band), turbulence in the Earth's ionosphere may cause significant phase perturbations of the interrogating signals. These perturbations depend on both the antenna and target coordinates and may lead to substantial image distortions. In our previous work, we proposed a variational approach to correcting the distortions that we called the transionospheric SAR autofocus. It required solving a complex optimization problem but performed well in numerical tests. As the optimization problem may be considered a hurdle, in the current work we compare the performance of the transionospheric SAR autofocus against that of a non-variational approach. The latter combines partial focusing with traditional autofocus where the phase perturbations are assumed to depend only on the antenna coordinates but not the target coordinates. In most cases, the optimization-based SAR autofocus produces images with better articulated peaks (i.e., peaks that are taller and narrower) as compared to those by the alternative approach.
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来源期刊
Radio Science
Radio Science 工程技术-地球化学与地球物理
CiteScore
3.30
自引率
12.50%
发文量
112
审稿时长
1 months
期刊介绍: Radio Science (RDS) publishes original scientific contributions on radio-frequency electromagnetic-propagation and its applications. Contributions covering measurement, modelling, prediction and forecasting techniques pertinent to fields and waves - including antennas, signals and systems, the terrestrial and space environment and radio propagation problems in radio astronomy - are welcome. Contributions may address propagation through, interaction with, and remote sensing of structures, geophysical media, plasmas, and materials, as well as the application of radio frequency electromagnetic techniques to remote sensing of the Earth and other bodies in the solar system.
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