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Drone-Based 3D Synthetic Aperture Radar Imaging with Trajectory Optimization.

Jedrzej Drozdowicz1, Piotr Samczynski1

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Summary

This study introduces an optimized trajectory for multirotor radar systems, enabling faster 3D Synthetic Aperture Radar imaging with improved quality. The method enhances imaging efficiency and performance using a realistic motion model.

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Area of Science:

  • Aerospace Engineering
  • Radar Systems
  • Robotics

Background:

  • Multirotor platforms are increasingly used for aerial imaging.
  • Synthetic Aperture Radar (SAR) requires precise platform trajectories for high-quality imaging.
  • Current multi-pass trajectories for SAR can be time-consuming.

Purpose of the Study:

  • To develop and optimize a trajectory determination method for multirotors with single-channel radar for 3D SAR imaging.
  • To achieve high-quality imaging in reduced time compared to multi-pass methods.
  • To optimize trajectory parameters including resolution, sidelobe ratios, and flight time.

Main Methods:

  • A realistic motion model of the radar platform is employed.
  • Trajectory optimization considers cross-range resolution, Peak Sidelobe Ratio (PSLR), Integrated Sidelobe Ratio (ISLR), and time of flight.
  • The algorithm integrates trajectory determination and optimization for efficient 3D SAR imaging.

Main Results:

  • A realistic and optimized trajectory for multirotor-based 3D SAR imaging was determined.
  • Simulation results demonstrate the practical applicability and effectiveness of the proposed method.
  • The optimized trajectory allows for imaging of assumed quality in less time than traditional multi-pass trajectories.

Conclusions:

  • The presented trajectory optimization method offers a significant advantage over existing approaches for multirotor 3D SAR.
  • The approach enhances imaging efficiency and quality through a realistic motion model and optimized parameters.
  • Further research directions include exploring advanced motion compensation techniques and real-world flight testing.