Cellular Base Station Imaging for UAV Detection is a work by Pan Cao.

With the rapid increase in unmanned aerial vehicles (UAVs), there is a growing threat of these devices being used for infrastructure, cyber-attacks, and data eavesdropping. From a safety and security perspective, developing an air surveillance system capable of seamlessly detecting low- and mid-altitude flying targets is crucial. However, deploying traditional radar stations on a large scale is impractical due to their excessive costs. By rethinking the role of cellular mobile communication networks, we aim to equip widely deployed outdoor cellular base stations (BSs) with “vision-like” capabilities. This would enable joint imaging and communication (JIAC) using the existing cellular infrastructure and spectrum. For the first time, this work systematically studies and demonstrates the concept of cellular base station imaging for UAV detection, allowing a cellular BS to function similarly to an inverse synthetic-aperture radar (ISAR) while still maintaining its communication role.

Publication Date– February 2022

Cellular Base Station Imaging for UAV Detection contains the following major sections:

  • Introduction
  • Concept, Signalling Strategy and Imaging Technology
  • Feasibility Analysis
  • UAV Imaging Illustration
  • Conclusion

This paper is available via Creative Commons by 4.0 Deed. No changes were made to this work. For additional information, please visit CC by 4.0 Deed.

Post Image- 3D scattering model for a typical four-rotor drone (Image Credit: Author)