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Efficient Time-Domain Imaging Processing for One-Stationary Bistatic Forward-Looking SAR Including Motion Errors.

Hongtu Xie1,2, Shaoying Shi3, Hui Xiao4

  • 1Department of Air/Space-based Early Warning Equipment, Air Force Early Warning, Wuhan 430019, China. xiehongtu08@nudt.edu.cn.

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|November 16, 2016
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Summary
This summary is machine-generated.

An efficient time-domain algorithm (ETDA) improves real-time imaging for one-stationary bistatic forward-looking synthetic aperture radar (OS-BFSAR) data. This method enhances processing efficiency and precision by addressing motion errors and data complexities.

Keywords:
efficient time-domain algorithm (ETDA)imaging processingmotion errorsone-stationary bistatic forward-looking synthetic aperture radar (OS-BFSAR)polar grids

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Area of Science:

  • Radar Systems Engineering
  • Remote Sensing Technology
  • Signal Processing

Background:

  • The rapid advancement of one-stationary bistatic forward-looking synthetic aperture radar (OS-BFSAR) generates substantial remote sensing data, posing significant challenges for real-time imaging processing.
  • Existing direct time-domain algorithms (DTDA) struggle with large spatial variances, severe range-azimuth coupling, and motion errors inherent in OS-BFSAR data.
  • Efficient processing is crucial for leveraging the full potential of OS-BFSAR for applications requiring timely data analysis.

Purpose of the Study:

  • To present an efficient time-domain algorithm (ETDA) for OS-BFSAR imaging that overcomes the limitations of DTDA.
  • To precisely handle complex imaging issues including large spatial variances, range-azimuth coupling, and motion errors.
  • To improve the overall imaging efficiency for OS-BFSAR data processing.

Main Methods:

  • Developed an efficient time-domain algorithm (ETDA) specifically designed for OS-BFSAR imaging.
  • Incorporated methods to precisely manage motion errors, large spatial variances, and range-azimuth coupling.
  • Defined polar grids for subimages on the ground plane and derived sampling requirements considering motion errors for improved precision-efficiency tradeoff.

Main Results:

  • The proposed ETDA demonstrates superior imaging efficiency compared to the direct time-domain algorithm (DTDA).
  • The algorithm effectively handles significant spatial variances, range-azimuth coupling, and motion errors.
  • Analysis of implementation and computational load indicates practical viability.

Conclusions:

  • The ETDA offers a significant improvement in imaging efficiency for OS-BFSAR data processing.
  • The algorithm provides a near-optimum balance between imaging precision and efficiency.
  • Experimental results validate the effectiveness of the ETDA over DTDA for OS-BFSAR imaging.