Paper
14 April 2022 Parametric autofocus method by the ionospheric dispersion compensation for GEO SAR systems
Weiwei Wang, Chongdi Duan, Min Tian, Jiang Zhu, Xiaochao Yang
Author Affiliations +
Proceedings Volume 12178, International Conference on Signal Processing and Communication Technology (SPCT 2021); 1217818 (2022) https://doi.org/10.1117/12.2631912
Event: International Conference on Signal Processing and Communication Technology (SPCT 2021), 2021, Tianjin, China
Abstract
Ionospheric dispersion would change with time and space for Geosynchronous Synthetic Aperture Radar (GEO SAR) systems, which causes a significant de-correlation of radar echoes during the long-time synthetic aperture process and seriously influences the imagery quality in azimuth. To address the issue, a parametric autofocus method by the ionospheric dispersion compensation for GEO SAR systems is proposed in the article. Firstly, the GEO SAR signal model is given, where the phase variations due to the ionospheric dispersion is characterized with the polynomial model. Then, the SAR imaging expression with the Back-Projection (BP) imaging method is utilized to estimate the polynomial parameters for the current GEO SAR echoes based on the Minimum Entropy Criterion of the SAR imagery. Thus, the temporal and spatial phase variations can be properly compensated with the polynomial and the imagery is well focused. Finally, the experimental results based on the ground slide rail indicate the usefulness of the proposed method.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Weiwei Wang, Chongdi Duan, Min Tian, Jiang Zhu, and Xiaochao Yang "Parametric autofocus method by the ionospheric dispersion compensation for GEO SAR systems", Proc. SPIE 12178, International Conference on Signal Processing and Communication Technology (SPCT 2021), 1217818 (14 April 2022); https://doi.org/10.1117/12.2631912
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KEYWORDS
Synthetic aperture radar

Radar

Data modeling

Reflectors

Image processing

Systems modeling

Imaging systems

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