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An Improved Unauthorized Unmanned Aerial Vehicle Detection Algorithm Using Radiofrequency-Based Statistical

Shengying Yang1, Huibin Qin2, Xiaolin Liang3

  • 1Institute of Electron Device & Application, Hangzhou Dianzi University, Hangzhou 310018, China. ysyhdu@126.com.

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Summary
This summary is machine-generated.

This study introduces an improved radio frequency (RF) method for detecting unauthorized unmanned aerial vehicles (UAVs). The advanced technique achieves high recognition rates, effectively identifying multiple UAVs at distances up to 3 km.

Keywords:
radio frequency (RF)singular value decomposition (SVD)spectrum accumulation (SA)spectrum sensingstatistical fingerprint analysis (SFA)

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Area of Science:

  • Electrical Engineering
  • Aerospace Engineering
  • Signal Processing

Background:

  • The proliferation of unmanned aerial vehicles (UAVs) presents security challenges for private and sensitive areas.
  • Unauthorized UAVs pose potential personal and public threats.
  • Existing detection methods require improvement for accuracy and efficiency.

Purpose of the Study:

  • To propose an enhanced radio frequency (RF)-based method for detecting unauthorized UAVs.
  • To improve the signal-to-noise ratio (SNR) and reduce interference for reliable detection.
  • To enhance system efficiency and accuracy in identifying UAV presence.

Main Methods:

  • Implemented background filtering to eliminate clutter (interference).
  • Utilized singular value decomposition (SVD) and average filtering for noise reduction and SNR improvement.
  • Employed spectrum accumulation (SA) and statistical fingerprint analysis (SFA) for UAV frequency estimation.
  • Applied region of interest (ROI) processing to reduce data size and improve azimuth estimation.

Main Results:

  • The proposed RF-based method demonstrated superior effectiveness compared to existing algorithms.
  • Achieved a recognition rate close to 100% within 2.4 km and over 90% within 3 km.
  • Successfully detected multiple UAVs accurately.

Conclusions:

  • The improved RF detection method offers a highly effective solution for identifying unauthorized UAVs.
  • The system provides reliable and accurate detection at significant distances.
  • This technology enhances security by enabling precise monitoring of UAV activity.