Extended PGA for Spotlight SAR-Filtered Backprojection Imagery

Tianyue Shi, Xinhua Mao, Andreas Jakobsson, Yanqi Liu

Research output: Contribution to journalArticlepeer-review

Abstract

The phase gradient autofocus (PGA) is a robust autofocusing approach that can efficiently refocus defocused synthetic aperture radar (SAR) imagery produced by frequency-domain algorithms. However, from a conventional viewpoint, PGA cannot be extended to refocus SAR imagery produced by time-domain algorithms, such as the filtered backprojection (FBP), as the spectrum of the FBP imagery is range ambiguous and azimuth space-variant. In this letter, a novel interpretation of FBP is presented, in which the spectrum structure of the FBP imagery is analyzed in detail. By incorporating the derived spectral information, an efficient spectrum preprocessing is proposed for spectrum restructuring. After this preprocessing, PGA is shown to be able to refocus defocused FBP imagery. The validity and feasibility of the proposed autofocusing approach are demonstrated using both simulated and experimental data.

Original languageEnglish
Article number4516005
JournalIEEE Geoscience and Remote Sensing Letters
Volume19
DOIs
Publication statusPublished - 2022

Subject classification (UKÄ)

  • Signal Processing

Free keywords

  • Autofocusing
  • filtered backprojection (FBP)
  • phase gradient autofocus (PGA)
  • synthetic aperture radar (SAR)

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