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This study aims to enhance the effectiveness of unmanned aerial vehicle (UAV) inspection systems for power lines under extreme weather conditions. It proposes a novel approach using the narrow beam and low sidelobe properties of W-band millimeter wave radar to develop an imaging algorithm specifically tailored for power line detection. By exploiting the Bragg scattering phenomenon exhibited by power lines, the algorithm not only identifies azimuth and range information but also generates high-resolution radar images of 500 kV power lines. This achieves a range resolution of 0.15 m, surpassing the 0.45-m spacing between the quad-bundle conductors in 500 kV power lines. The findings underscore the feasibility of employing millimeter wave radar in UAV-based power line inspection, thereby significantly advancing the safety and efficacy of intelligent power drone inspections.

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Research on Power Line Detection and Imaging Method Based on Millimeter Wave Radar for Unmanned Aerial Vehicles

  • 会议论文

  • 发表日期：

    2025年

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  • Shuo Wu,
  • YiRong Wang,
  • Shuwei Sun,
  • Xin Zhang,
  • Yanxiang Wang,
  • Mendi Zhang

摘要

This study aims to enhance the effectiveness of unmanned aerial vehicle (UAV) inspection systems for power lines under extreme weather conditions. It proposes a novel approach using the narrow beam and low sidelobe properties of W-band millimeter wave radar to develop an imaging algorithm specifically tailored for power line detection. By exploiting the Bragg scattering phenomenon exhibited by power lines, the algorithm not only identifies azimuth and range information but also generates high-resolution radar images of 500 kV power lines. This achieves a range resolution of 0.15 m, surpassing the 0.45-m spacing between the quad-bundle conductors in 500 kV power lines. The findings underscore the feasibility of employing millimeter wave radar in UAV-based power line inspection, thereby significantly advancing the safety and efficacy of intelligent power drone inspections.