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FOD Detection Method Based on Iterative Adaptive Approach for Millimeter-Wave Radar.

Yangliang Wan1,2, Xingdong Liang1,2, Xiangxi Bu1

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

Sensors (Basel, Switzerland)
|February 13, 2021
PubMed
Summary

This study introduces a new method using an iterative adaptive approach (IAA) algorithm to reduce false alarms in foreign object debris (FOD) detection on airport runways. The IAA algorithm effectively suppresses interference, improving aviation safety.

Keywords:
false alarms reductionforeign object debris (FOD)interference suppressioniterative adaptive approach (IAA)millimeter-wave radarsuper-resolution

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Area of Science:

  • Aerospace Engineering
  • Radar Systems
  • Signal Processing

Background:

  • Foreign object debris (FOD) detection on airport runways is critical for civil aviation safety.
  • Millimeter-wave radar is a common solution, but interference and clutter lead to high false alarm rates.
  • Existing clutter cancellation methods struggle to eliminate all interference, necessitating improved detection techniques.

Purpose of the Study:

  • To propose and validate a novel FOD detection method for interference suppression and false alarm reduction.
  • To enhance the accuracy of FOD detection by leveraging an iterative adaptive approach (IAA) algorithm.
  • To improve the super-resolution capability of radar systems for detecting small debris on runways.

Main Methods:

  • Data preprocessing using conventional methods to obtain initial FOD target information.
  • Refined data processing via the non-parametric, weighted least squares-based IAA algorithm in the azimuth direction.
  • Fusion processing of information from both steps to distinguish false alarms and acquire accurate target data.

Main Results:

  • The proposed method effectively reduces false alarms compared to traditional FOD detection techniques.
  • Experimental results with real airport data demonstrate significant improvements in detection accuracy.
  • Azimuth super-resolution capability up to 2.2 times was achieved for detecting metal balls at 660m.

Conclusions:

  • The iterative adaptive approach (IAA) algorithm offers a promising solution for mitigating interference and reducing false alarms in millimeter-wave radar-based FOD detection.
  • The proposed fusion processing method enhances the reliability and accuracy of FOD detection systems.
  • This advancement contributes to improved aviation safety by enabling more precise identification of runway debris.