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February 9, 2026Radio ScienceOpen Access

Environmental Boundary Estimation of Urban Areas Using FMCW Radar With Data Clustering for UAV Detection

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Authors

SESeksan EiadkaewKing Mongkut's University of Technology North BangkokABAkkarat BoonpoongaKing Mongkut's University of Technology North BangkokLBLakkhana BannawatRajamangala University of Technology Rattanakosin

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Implication

Non-Doppler methods improve UAV detection in urban environments, indicating effective clutter management.

Key Points

  • This research aims to develop a reliable method for UAV detection in urban areas using FMCW radar and clustering techniques.
  • Utilized a frequency-modulated continuous wave radar system in the X-band.
  • Implemented azimuth-range mapping combined with adaptive DBSCAN clustering.
  • Applied β-expanded convex hull boundary estimation to mitigate false detections.
  • Conducted experiments in a controlled urban environment with multiple obstacles.
  • Demonstrated consistent UAV detection across various elevation angles.
  • Showed improved separation between UAV signals and environmental clutter.
  • Validated the effectiveness of the proposed framework for urban UAV monitoring.

Cite This Study

Eiadkaew et al. (2026) studied this question.

synapsesocial.com/papers/698979c8f0ec2af6756e7b87https://doi.org/10.1029/2025rs008392
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