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Foreign Object Debris Automatic Target Detection for Millimeter-Wave Surveillance Radar.

Fei Qin1,2, Xiangxi Bu1, Yunlong Liu1

  • 1National Key Lab of Microwave Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China.

Sensors (Basel, Switzerland)
|July 2, 2021
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Summary

This study introduces an advanced millimeter-wave radar algorithm for detecting foreign object debris (FOD) on airfields, significantly improving detection of small targets at long ranges. The new system enhances aviation safety by enabling earlier and more reliable identification of potential runway hazards.

Keywords:
FODautomatic target detectionclutter map CFARclutter modelinglong-distance detectionmillimeter-wave radar

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Area of Science:

  • Aerospace Engineering
  • Radar Systems
  • Surveillance Technology

Background:

  • Foreign Object Debris (FOD) poses a significant threat to aviation safety.
  • Existing FOD detection systems have limitations in range and sensitivity for small targets.
  • Complex airfield environments and weak target echoes challenge long-distance monitoring.

Purpose of the Study:

  • To develop an integrated automatic target detection algorithm for Foreign Object Debris (FOD).
  • To enhance the detection of small FOD targets using millimeter-wave (MMW) surveillance radar at ranges exceeding 660 m.
  • To establish a quantitative performance criterion for FOD radar systems.

Main Methods:

  • Theoretical modeling of FOD signals and MMW ground clutter.
  • Runway edge detection using in-continuity features for region of interest extraction.
  • Implementation of a time-domain algorithm following a constant false alarm rate (CFAR) clutter map detection.

Main Results:

  • The proposed algorithm effectively detects small FOD targets at long ranges (over 660 m).
  • Experimental validation in a real airport environment confirmed the method's effectiveness.
  • The developed quantitative performance criterion provides an absolute reference for FOD radar systems.

Conclusions:

  • The integrated FOD detection algorithm for MMW surveillance radar significantly improves long-range small target detection.
  • The study establishes a novel, quantitative performance metric for evaluating FOD radar systems.
  • The validated system enhances aviation safety through more reliable FOD detection.