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Real-time implementation of frequency-modulated continuous-wave synthetic aperture radar imaging using field

Yinghui Quan1, Yachao Li1, Guibin Hu1

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A new miniature radar system on unmanned aerial vehicles enables real-time, high-resolution synthetic aperture radar imaging. This advanced hardware significantly improves integration, power efficiency, and performance for aerial surveillance applications.

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Area of Science:

  • Electrical Engineering
  • Aerospace Engineering
  • Signal Processing

Background:

  • Synthetic aperture radar (SAR) imaging is crucial for aerial surveillance and remote sensing.
  • Miniaturization and real-time processing are key challenges in developing airborne SAR systems.

Purpose of the Study:

  • To present a novel miniature linear frequency-modulated continuous-wave (LFMCW) radar for unmanned aerial vehicles (UAVs).
  • To achieve high-resolution SAR imaging in real-time using a compact hardware solution.

Main Methods:

  • The system utilizes a Kintex-7 field-programmable gate array (FPGA) for comprehensive signal processing.
  • Sophisticated radar imaging algorithms are implemented on the FPGA for real-time performance.

Main Results:

  • The proposed hardware architecture demonstrates significant improvements in integration, power consumption, and volume.
  • Remarkable enhancements in computing performance are achieved compared to previous designs.

Conclusions:

  • The developed miniature LFMCW radar system is suitable for real-time, high-resolution SAR imaging on UAVs.
  • Flight campaigns validated the design's effectiveness and performance in practical scenarios.