论文标题
一个现实的3D非平稳渠道模型，用于融合机身姿势的无人机通信
A Realistic 3D Non-Stationary Channel Model for UAV-to-Vehicle Communications Incorporating Fuselage Posture
论文作者
论文摘要
考虑到无人驾驶飞机（UAV）三维（3D）姿势，提出了一种新型的3D非平稳几何学随机模型（GBSM），以用于多输入多输出（MIMO）无人机（UAV）到达车辆（U2V）通道。它由视线（LOS）和非视线（NLOS）组件组成。通过引入时间变化的3D姿势矩阵来考虑机身姿势的因素。得出和研究了一些重要的统计特性，即时间自相关函数（ACF）和空间互相关函数（CCF）。仿真结果表明，机身姿势对U2V通道的特征有重大影响，并加剧了非平稳性。分析，模拟和测量结果之间的协议验证了提出的模型和推导的正确性。此外，已经证明，所提出的模型也与现有的GBSM兼容，而无需考虑机身姿势。
Considering the unmanned aerial vehicle (UAV) three-dimensional (3D) posture, a novel 3D non-stationary geometry-based stochastic model (GBSM) is proposed for multiple-input multiple-output (MIMO) UAV-to-vehicle (U2V) channels. It consists of a line-of-sight (LoS) and non-line-of-sight (NLoS) components. The factor of fuselage posture is considered by introducing a time-variant 3D posture matrix. Some important statistical properties, i.e. the temporal autocorrelation function (ACF) and spatial cross correlation function (CCF), are derived and investigated. Simulation results show that the fuselage posture has significant impact on the U2V channel characteristic and aggravate the non-stationarity. The agreements between analytical, simulated, and measured results verify the correctness of proposed model and derivations. Moreover, it is demonstrated that the proposed model is also compatible to the existing GBSM without considering fuselage posture.
