摘要
针对无人机(unmanned aerial vehicle, UAV)通信信号三维空间传播特点,提出了基于多圆柱体的非平稳几何统计模型(geometry-based stochastic channel model, GSCM),该模型通过引入天线位置变换矩阵,可支持UAV和地面移动端(mobile terminal,MT)任意三维移动轨迹。在此基础上,构建了适合硬件模拟实现的离散化模型,并设计实现了模拟时变信道特性的随机簇生灭算法,以及基于线性调频叠加原理的非平稳衰落模拟方法。硬件实测结果表明,本文信道模拟器输出的衰落幅值分布、时延功率谱和多普勒功率谱等统计特性与理论结果比较吻合,有效复现了信道时变衰落、多径时延、多径功率和多普勒频率随着UAV的位置和速度变化而变化的过程。
For the three-dimensional (3D) propagation scenarios of unmanned aerial vehicle (UAV) communication, a multi-cylinder geometry-based stochastic channel model (GSCM) for non-stationary UAV channels is proposed in this paper. The model allows 3D arbitrary trajectories of the UAV as well as the mobile terminal (MT) on ground. On this basis, a corresponding discrete channel model suitable for hardware implementation is developed. Moreover, a birth-and-death algorithm of random cluster is designed to simulate the time-varying channel characteristics, and a new method, i.e., the summation of several linear frequency modulation signals, is applied to reproduce the non-stationary channel fading. Hardware measurement results show that the output statistical properties, i.e., fading amplitude distribution, delay power spectrum density (DPSD) and Doppler power spectrum density(DPSD) agree well with the theoretical ones, and they also clearly demonstrate the time evolving of channel parameters, e.g., the fading, path delay, path power and Doppler frequency, with the position and velocity variations of the UAV.
作者
毛开
杨志强
陆智俊
朱秋明
宋茂忠
MAO Kai;YANG Zhiqiang;LU Zhijun;ZHU Qiuming;SONG Maozhong(Key Lab of Dynamic Cognitive System of Electromagnetic Spectrum Space, Ministry of Industry and Information Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 211100, China;Key Laboratory of Radar Imaging and Microwave Photonics, Nanjing University of Aeronautics and Astronautics, Nanjing 211100, China;China Aerospace System Engineering Co. Ltd,Beijing 100070, China)
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2019年第12期2872-2878,共7页
Systems Engineering and Electronics
基金
国家重大科学仪器设备开发专项(61827801)
国家自然科学基金重点项目(61631020)
江苏省物联网与控制技术重点实验室基金(NJ20160027)资助课题
关键词
无人机
信道模型
信道模拟
随机簇
线性调频
unmanned aerial vehicle (UAV)
channel model
channel emulation
random cluster
linear frequency modulation
