论文标题
关于用蜂窝网络的无人机定位
On the Localization of Unmanned Aerial Vehicles with Cellular Networks
论文作者
论文摘要
本地化对于无人机的安全操作起着关键作用,使视觉线应用超越视觉线路。与基于GPS的本地化相比,蜂窝网络可以减少定位误差和成本,因为蜂窝连接已成为无人机的通信系统的突出解决方案。作为迈向本地化的第一步,无人机需要接收足够数量的定位信号,每个信号都具有大于阈值的干扰和噪声比(SINR)的信号,这被定义为定义性。另一方面,无人机的三维迁移率,基础站(BSS)和无人机之间的高度依赖性通道特征,其视线和视线条件的非线线,以及来自相邻的BSS构成的干扰,构成了从所需的BSS数量中获得可用信号的挑战。在本文中,我们利用一种可拖动方法来计算本地化,在两层六边形蜂窝网络中成功接收一定数量的BSS的可用信号的概率。无论要使用的本地化技术如何,本地化性都会影响整体定位性能。在我们的仿真研究中,我们研究了本地性BSS数量,后处理SINR要求,空对接地通道特征和网络协调之间的关系之间的关系,这被证明是无人机本地化性能的最重要因素。
Localization plays a key role for safe operation of UAVs enabling beyond visual line of sight applications. Compared to GPS based localization, cellular networks can reduce the positioning error and cost since cellular connectivity is becoming a prominent solution as a communication system for UAVs. As a first step towards localization, UAV needs to receive sufficient number of localization signals each having a signal to interference plus noise ratio (SINR) greater than a threshold, which is defined as localizability. On the other hand, three-dimensional mobility of UAVs, altitude dependent channel characteristics between base stations (BSs) and UAVs, its line of sight and non-line of sight conditions, and resulting interference from the neighboring BSs pose challenges to receive usable signals from the required number of BSs. In this paper, we utilize a tractable approach to calculate localizability, probability of successfully receiving usable signals from a certain number of BSs, in a two-tier hexagonal cellular network. Localizability has an impact on overall localization performance regardless of the localization technique to be used. In our simulation study, we investigate the relation between the probability of localizability with respect to number of participating BSs, post-processing SINR requirement, air-to-ground channel characteristics, and network coordination, which are shown to be the most important factors for the localizability performance of UAVs.