论文标题
无人机通信的单孔信号的稳健和低复杂性束跟踪
Robust and Low Complexity Beam Tracking with Monopulse Signal for UAV Communications
论文作者
论文摘要
基于天线阵列的无人机通信需要可靠的链接获取技术。与传统的蜂窝通信不同，无人机通信中的光束跟踪解决了新问题，例如移动性和与无人机扰动的突然频道断开连接。为了解决这些问题，我们建议使用单纤维信号基于扩展的卡尔曼滤波器（EKF）提出梁跟踪方案，该信号可以通过在估计的空间方向上提供可靠的链接来提供（1）与现有常规光束跟踪方案相比，通过在估计的空间方向上提供可靠的链接来提供更高的鲁棒性。我们指出，将光束信号用作基于卡尔曼滤波器（KF）方案的测量模型的局限性，而将单块信号用作更合理的模型。对于性能评估，我们得出了无人机的空间角度估计的均方根误差的上限，并确认所提出的方案在某些有界误差的情况下是稳定的。我们还从各种模拟中显示，提出的方案可以使用光束形成的信号有效地跟踪无人机并检测光束断开。
UAV communications based on an antenna array entail a beam tracking technology for reliable link acquisition. Unlike conventional cellular communication, beam tracking in UAV communication addresses new issues such as mobility and abrupt channel disconnection from UAV's perturbation. To deal with these issues, we propose a beam tracking scheme based on extended Kalman filter (EKF) using a monopulse signal, which can provide (1) higher robustness by offering a reliable link in the estimated spatial direction and (2) lower complexity compared with the existing conventional beam tracking schemes. We point out the limitations of using a beamformed signal as a measurement model for a Kalman filter (KF) based scheme and instead utilize the monopulse signal as a more plausible model. For the performance evaluation, we derive the upper bound of the mean square error for spatial angle estimation of UAV and confirm that the proposed scheme is stable with a certain bounded error. We also show from various simulations that the proposed scheme can efficiently track UAV and detect beam disconnection every time frame using a beamformed signal.
