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Precise Aperture-Dependent Motion Compensation with Frequency Domain Fast Back-Projection Algorithm.

Man Zhang1, Guanyong Wang2,3, Lei Zhang4

  • 1School of Software, Xidian University, Xi'an 710071, China. mzhang@xidian.edu.cn.

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|October 27, 2017
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Summary
This summary is machine-generated.

A new frequency domain fast back-projection algorithm (FDFBPA) effectively compensates for strong azimuth-variant motion errors in synthetic aperture radar (SAR) imagery. This method improves robustness and efficiency over traditional post-filtering techniques for high-resolution SAR data.

Keywords:
chirp-z transform (CZT)frequency domain fast back-projection algorithm (FDFBPA)motion compensation (MOCO)synthetic aperture radar (SAR)

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Area of Science:

  • Remote Sensing
  • Signal Processing
  • Geophysics

Background:

  • Precise motion compensation (MOCO) is critical for high-resolution synthetic aperture radar (SAR) imagery.
  • Conventional image-domain post-filtering methods struggle with strong azimuth-variant motion errors, reducing efficiency and robustness.

Purpose of the Study:

  • To introduce a novel frequency domain fast back-projection algorithm (FDFBPA) for robustly compensating strong azimuth-variant motion errors in SAR.
  • To enhance the efficiency and robustness of motion compensation for high-resolution SAR imaging.

Main Methods:

  • Developed FDFBPA utilizing azimuth spectrum expression in the azimuth wavenumber domain.
  • Implemented a wavenumber domain sub-aperture processing strategy for accelerated computation.
  • Employed chirp-Z transform (CZT) for efficient sub-aperture back-projection integral and fused sub-aperture images in the azimuth wavenumber domain.

Main Results:

  • FDFBPA effectively disposes of strong azimuth-variant motion errors.
  • The algorithm demonstrates improved robustness by avoiding image-domain post-filtering.
  • Both simulated and real-measured data confirmed the effectiveness and superiority of FDFBPA.

Conclusions:

  • FDFBPA offers a superior solution for motion compensation in high-resolution SAR, particularly in the presence of strong motion errors.
  • The proposed method enhances computational efficiency and image quality for SAR data processing.