| dc.description.abstract | In recent years, the development and application of Unmanned
Aerial Vehicles (UAVs) have been rapidly expanding, with widespread use in both civilian and military sectors. In civilian applications, UAVs are utilized for aerial photography, agriculture, logistics delivery, disaster response, and more. For instance, agricultural UAVs are employed for crop monitoring and pesticide spraying, improving agricultural productivity; while logistics delivery UAVs facilitate rapid parcel delivery, addressing last-mile delivery challenges. In the military realm, UAVs are used for reconnaissance, target location, and aerial strikes, significantly enhancing the real-time and accuracy of battlefield intelligence while reducing the risk of casualties. However, when employed as military weapons, UAVs can pose significant dangers and damages. Therefore, UAV countermeasures have become an important issue. This paper introduces the Auxiliary Beam Pair (ABP) algorithm for UAV angle estimation, which offers lower computational complexity and cost compared to conventional Digital Beamforming (DBF) algorithms, making it a highly cost-effective angle estimation approach. To maintain continiuous UAV tracking, an Extended Kalman Filter (EKF) is integrated to minimize tracking errors. In addition to comprehensive system simulations, software-defined radio (SDR) platforms and motors are utilized for angle estimation and continuous UAV tracking. Finally, both simulation and implementation results are analyzed and discussed. | en_US |