Adaptive Beam Control Considering Location Inaccuracy for Anti-UAV Systems

The threat posed by drones has significantly increased in recent years, necessitating the development of robust anti-UAV systems capable of detecting and preventing malicious UAVs. However, the anti-UAV system requires accurate UAV location detection capabilities to counteract UAVs robustly. For example, when employing jamming technology as a countermeasure, the anti-UAV system can enhance its defence performance by concentrating the jamming signal towards the detected UAV location, a technique known as a directional jamming signal. However, obtaining accurate UAV location information is challenging due to the small size, high velocity, and maneuverability of UAVs, which pose difficulties in detecting and tracking UAVs. Inaccurate UAV location data can significantly impair the defence performance of anti-UAV systems. In the jamming system, it causes the misalignment between the directional jamming signal and the malicious UAV and jamming failure. Therefore, addressing the problem of inaccurate location information is crucial for the anti-UAV system to achieve robust jamming performance. This article investigates the impact of UAV detection errors in an anti-UAV system that employs radar for detection and jamming technology as a countermeasure. We design the UAV detection algorithm to analyze the influence of UAV location detection errors. Furthermore, a beam control scheme is proposed for the jamming system to mitigate the effects of detection errors in the anti-UAV system. The proposed scheme utilizes a wide beam width when location information is inaccurate to avoid beam misalignment. In contrast, a narrow beamwidth is employed when the location information is precise to enhance jamming power efficiency. Simulation results demonstrate that the proposed method ensures stable jamming performance even when faced with inaccurate UAV location information.