School of Microelectronics, Shandong University, Jinan 250101, China.
The National Mobile Communications Research Laboratory, School of Information Science and Engineering, Southeast University, Nanjing 210096, China.
Sensors (Basel). 2023 Jun 6;23(12):5372. doi: 10.3390/s23125372.
This study involved channel modeling and characteristics analysis of unmanned aerial vehicles (UAVs) according to different operating trajectories. Based on the idea of standardized channel modeling, air-to-ground (AG) channel modeling of a UAV was carried out, taking into consideration that both the receiver (Rx) and the transmitter (Tx) ran along different types of trajectories. In addition, based on Markov chains and a smooth-turn (ST) mobility model, the influences of different operation trajectories on typical channel characteristics-including time-variant power delay profile (PDP), stationary interval, temporal autocorrelation function (ACF), root mean square (RMS) delay spread (DS), and spatial cross-correlation function (CCF)-were studied. The multi-mobility multi-trajectory UAV channel model matched well with actual operation scenarios, and the characteristics of the UAV AG channel could be analyzed more accurately, thus providing a reference for future system design and sensor network deployment of sixth-generation (6G) UAV-assisted emergency communications.
本研究根据不同的运行轨迹，对无人机（UAV）的信道建模和特性进行了分析。基于标准化信道建模的思想，对无人机的空对地（AG）信道进行了建模，同时考虑到接收机（Rx）和发射机（Tx）沿不同类型的轨迹运行。此外，基于马尔可夫链和平滑转弯（ST）移动性模型，研究了不同运行轨迹对典型信道特性的影响，包括时变功率延迟分布（PDP）、静止间隔、时间自相关函数（ACF）、均方根延迟扩展（DS）和空间互相关函数（CCF）。该多移动性多轨迹无人机信道模型与实际运行场景匹配良好，能够更准确地分析无人机 AG 信道的特性，从而为未来第六代（6G）无人机辅助应急通信的系统设计和传感器网络部署提供参考。
