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August 1, 2026Scientific ReportsOpen Access

Radar detection of small UAVs in severe ground clutter using 2D spatial-temporal matched filtering

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Authors

PBPaweł BiernackiWrocław University of Science and TechnologyULUrszula LibalWrocław University of Science and TechnologyAWAgnieszka WielgusWrocław University of Science and Technology

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Implication

Randomized trial demonstrates improved UAV detection in cluttered environments, suggesting a new radar framework.

Key Points

  • The research aims to improve the detection of small UAVs in severe ground clutter using advanced radar signal processing techniques.
  • Developed a two-dimensional spatial-temporal matched filter for UAV detection.
  • Applied Normalized Cross-Correlation (NCC) instead of amplitude thresholding.
  • Validated the method using Monte Carlo simulations and outdoor field trials.
  • Achieved sensitivity gain of 10 to 14 dB over standard CFAR methods in cluttered environments.
  • Demonstrated Precision-Recall AUC between 0.93 and 0.99 in outdoor radar testing.
  • Effectively suppressed false alarms even at low Signal-to-Clutter Ratio.

Cite This Study

Biernacki et al. (2026) studied this question.

synapsesocial.com/papers/6a6d983ee258b358b3c6b4fchttps://doi.org/10.1038/s41598-026-64727-x
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