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Optimized Phase Gradient Autofocus Algorithm Based on Improved Point Selection and Windowing Processing
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Jianbin LIU1, Peng ZHOU1, Ying WANG2, Zhenhua ZHANG3
Journal of Telemetry, Tracking and Command | 2024, 45(5) : 91 - 99
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Journal of Telemetry, Tracking and Command | 2024, 45(5): 91-99
• Radar and Countermeasures •
Optimized Phase Gradient Autofocus Algorithm Based on Improved Point Selection and Windowing Processing
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Jianbin LIU1, Peng ZHOU1, Ying WANG2, Zhenhua ZHANG3
Affiliations
  • 1.College of Oceanography and Space Informatics, China University of Petroleum, Qingdao 266580, China
  • 2.Beijing Research Institute of Telemetry, Beijing 100076, China
  • 3.Beihang University, Beijing 100191, China
Published: 2024-09-15 doi: 10.12347/j.ycyk.20240504004
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The Phase Gradient Autofocus (PGA) algorithm is widely used to compensate for phase errors in Synthetic Aperture Radar (SAR) images. In the processing flow of the PGA algorithm, the two-step operation of selecting points and adding windows has a significant impact on algorithm performance. Traditional PGA algorithms often suffer from poor point selection quality or incorrect window width estimation, leading to poor focusing effect and slower convergence speed. This article proposes a strong point selection method based on the maximum energy signal-to-noise ratio criterion and an adaptive window width estimation method. Using the dimensions of energy and signal-to-noise ratio, ideal isolated strong scattering points are selected from image data, and two traditional windowing methods are combined and improved to adaptively estimate the window width, achieving improved algorithm stability and convergence speed. The simulation and experimental data processing results confirm the effectiveness of the algorithm proposed in this paper.

Autofocus  /  Phase gradient autofocus  /  Strong point selection  /  Window width estimation
Jianbin LIU, Peng ZHOU, Ying WANG, Zhenhua ZHANG. Optimized Phase Gradient Autofocus Algorithm Based on Improved Point Selection and Windowing Processing[J]. Journal of Telemetry, Tracking and Command, 2024 , 45 (5) : 91 -99 . DOI: 10.12347/j.ycyk.20240504004
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Year 2024 volume 45 Issue 5
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Article Info
doi: 10.12347/j.ycyk.20240504004
  • Receive Date：2024-05-04
  • Online Date：2026-03-20
  • Published：2024-09-15
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History
  • Received：2024-05-04
  • Revised：2024-06-12
Funding
Affiliations
    1.College of Oceanography and Space Informatics, China University of Petroleum, Qingdao 266580, China
    2.Beijing Research Institute of Telemetry, Beijing 100076, China
    3.Beihang University, Beijing 100191, China
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https://castjournals.cast.org.cn/joweb/ycyk/EN/10.12347/j.ycyk.20240504004
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