Analysis of UAVs and their demasking factors for detection means

The paper is dedicated to the analysis of unmanned aerial vehicles (UAVs) and their demasking factors, as well as their impact on the effectiveness of various detection means. The study examines key characteristics of UAVs that contribute to their detection, such as radar cross-section, optical and infrared emissions, and acoustic signatures. The conditions under which detection means are most effectively applied are analyzed, and a range of recommendations for improving UAV detection capabilities are provided.