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Architecture Exploration of a Backprojection Algorithm for Real-Time Video SAR.

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  • 1Department of Smart Air Mobility, Korea Aerospace University, Goyang 10540, Korea.

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Summary

This study introduces new multi-GPU architectures for fast backprojection based video synthetic aperture radar (BP-VISAR). Optimized BP-VISAR achieves high frame rates, enabling real-time video SAR imaging with improved resolution.

Keywords:
SARbackprojectionoverlapped aperture modesub-aperture processingsynthetic aperture radarvideo SAR

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Area of Science:

  • Remote Sensing
  • Computational Imaging
  • Signal Processing

Background:

  • Video Synthetic Aperture Radar (VISAR) systems require efficient processing for real-time applications.
  • Backprojection algorithms are computationally intensive, posing challenges for high frame rates.

Purpose of the Study:

  • To explore novel multi-GPU architectures for accelerating backprojection-based VISAR (BP-VISAR).
  • To analyze and optimize BP-VISAR frame rates in non-overlapped and overlapped aperture modes.

Main Methods:

  • Definition of processing data units for parallelizing backprojection.
  • Proposal and evaluation of six distinct GPU-based architectures.
  • Implementation of multi-stream backprojection on multiple GPUs for enhanced efficiency.

Main Results:

  • Evaluated performance of architectures in both non-overlapped and overlapped modes.
  • Achieved accelerated frame rates using sub-aperture processing and multi-stream backprojection.
  • Demonstrated scalable frame rates with increasing GPU count for high-resolution imagery.

Conclusions:

  • The proposed BP-VISAR architectures significantly enhance processing speed.
  • Sub-aperture processing with multi-GPU acceleration is effective for high-resolution, real-time video SAR.
  • The system can generate high-resolution frames at high frame rates (e.g., 73.5 Hz on quad GPUs).