The Existing Technologies on Anti-Drone Systems is a research paper by Laurențiu-Răducu POPESCU.

The paper provides an overview of the currently available technologies in the market for anti-drone systems, specifically focusing on Counter Remotely Piloted Aircraft Systems (C-RPAS). These technologies encompass radar, audio interception systems, infrared devices, and electro-optical devices, although their effectiveness may be limited in remote sensing. The primary objective of this paper was to emphasize the critical role of detection in C-RPAS systems, as without detection, the other functionalities of these systems cannot be effectively applied. The research methods employed in this study included specialized documents, studies, and comparative analysis. The findings confirmed the hypothesis that anti-drone systems utilize one or more technologies in combination to detect, recognize, identify, locate, block, capture, or destroy drones. The first four functionalities (detection, recognition, identification, and localization) form the fundamental configuration for any C-RPAS system. In the future, capturing RPAS, particularly military ones, will pose a challenge for C-RPAS system manufacturers. Additionally, adequately preparing operators and beneficiaries for the use of such systems is crucial, as they can significantly influence the effectiveness of drone combat missions.

The Existing Technologies on Anti-Drone Systems contains the following major sections:

  • Introduction
  • The Influence of the Specific Dimensions and Shap of the RPAS on the Detection
  • The Influence of Special Materials (Anti-Reflex-Stealth Technology) of RPAS on Detection
  • The Influence of Flight Measures at Very Low Altitudes or in the Urban Area on Detection
  • The Influence of Extremely Low Noise Fingerprint Electrip RPAS Motors on Detection
  • The Influence of Fingerprint Mitigation Devices on Visible and Infrared Spectrum from RPAS Structure on Detection
  • The Influence of Radio Frequency (RF) of RPAS on Detection
  • Conclusions

Open Access Paper. This article is distributed under the terms of the Attribution-Non-Commercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

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Author– Laurențiu-Răducu POPESCU

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Post Image- Drone flying at sunset (Image Credit: envatoelements by Johnstocker)