论文标题
通过利用机器人臂进行MMWave无线通道表征来模拟无人机运动
Emulating UAV Motion by Utilizing Robotic Arm for mmWave Wireless Channel Characterization
论文作者
论文摘要
在本文中,通过使用机器人臂模拟真实无人机运动来分析和研究无人机的无线通道特性(多普勒传播和路径损失建模)(无人机)辅助通信。该运动认为大气中的风阵阵Uav引起的实际湍流,这是由广泛使用的Dryden风模型统计建模的。正在考虑的频率为28 GHz,在态室设置中为28 GHz。在此实验中,考虑了总共以2英尺为增量的11个距离点,从3.5英尺到23.5英尺。在每个距离点,收集了3个数据样本,以更好地推论。在这种模拟的环境中,发现在这些不同距离处的平均多普勒在-60 dB的噪声底部散布约为-20 Hz和+20 Hz。另一方面,发现路径损失指数为1.843。这项研究介绍了MMWave通信系统的无人机运动的新颖框架,这将为未来的设计和实施下一代无人机辅助无线通信系统铺平道路。
In this paper, millimeter wave (mmWave) wireless channel characteristics (Doppler spread and path loss modeling) for Unmanned Aerial Vehicles (UAVs) assisted communication is analyzed and studied by emulating the real UAV motion using a robotic arm. The motion considers the actual turbulence caused by the wind gusts to the UAV in the atmosphere, which is statistically modeled by the widely used Dryden wind model. The frequency under consideration is 28 GHz in an anechoic chamber setting. A total of 11 distance points from 3.5 feet to 23.5 feet in increments of 2 feet were considered in this experiment. At each distance point, 3 samples of data were collected for better inference purposes. In this emulated environment, it was found out that the average Doppler spread at these different distances was around -20 Hz and +20 Hz at the noise floor of -60 dB. On the other hand, the path loss exponent was found to be 1.843. This study presents and lays out a novel framework of emulating UAV motion for mmWave communication systems, which will pave the way out for future design and implementation of next generation UAV-assisted wireless communication systems.