论文标题
基于RSSI的室外本地化，无人驾驶飞机
RSSI-based Outdoor Localization with Single Unmanned Aerial Vehicle
论文作者
论文摘要
已使用多个陆地参考节点进行了常规对目标对象的定位。该范式最近朝着利用无人机（UAV）来定位目标对象。由于使用同时使用多个无人机的目标定位是昂贵且不切实际的，因此可以利用单个无人机来实现这一任务。因此，在本文中，我们提出了一种基于RSSI的本地化方法，该方法仅利用单个无人机。所提出的方法基于聚类方法以及奇异值分解（SVD）。通过我们设计的无人机和计算机模拟的无人机收集的实验测量结果来验证所提出的方法的性能。结果表明，根据迭代次数的数量，提出的方法可以达到低至7m的位置精度。
Localization of a target object has been performed conventionally using multiple terrestrial reference nodes. This paradigm is recently shifted towards utilization of unmanned aerial vehicles (UAVs) for locating target objects. Since locating of a target using simultaneous multiple UAVs is costly and impractical, achieving this task by utilizing single UAV becomes desirable. Hence, in this paper, we propose an RSSI-based localization method that utilizes only a single UAV. The proposed approach is based on clustering method along with the Singular Value Decomposition (SVD). The performance of the proposed method is verified by the experimental measurements collected by a UAV that we have designed and computer simulations. The results show that the proposed method can achieve location accuracy as low as 7m depending on the number of iterations.
