北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2021, Vol. 44 ›› Issue (5): 61-66.doi: 10.13190/j.jbupt.2021-013

• 论文 • 上一篇    下一篇

A2G场景下三维宽带非平稳信道建模与分析

孙晶晶, 张治中, 邓炳光   

  1. 重庆邮电大学 通信与信息工程学院, 重庆 400065
  • 收稿日期:2021-01-28 出版日期:2021-10-28 发布日期:2021-09-06
  • 通讯作者: 张治中(1972-),男,教授,E-mail:zhangzz@nuist.edu.cn. E-mail:zhangzz@nuist.edu.cn
  • 作者简介:孙晶晶(1996-),女,硕士生.
  • 基金资助:
    国家重点研发计划项目(2018YFB2100200)

Modeling and Analysis of A2G 3D Wideband Nonstationary Channel

SUN Jing-jing, ZHANG Zhi-zhong, DENG Bing-guang   

  1. School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
  • Received:2021-01-28 Online:2021-10-28 Published:2021-09-06

摘要: 提出了一种基于三维几何的适用于宽带非平稳多输入多输出空对地(A2G)信道的随机模型.该模型使用单个同心圆柱模拟地面端散射体分布情况,将非视距分量进一步细分为一次散射分量和地面反射分量.引入时变的角度和时变的速度来模拟无人机到地信道的非平稳性.推导了空-时-频相关函数和空间多普勒功率谱密度函数.此外,还分析了包络电平交叉率和平均衰落持续时间等统计特性.结果表明,无人机的飞行方向、高度、仰角等参数对信道统计特性和非平稳性有重要影响.仿真值与实测数据的较高逼近程度表明所提信道模型的正确性和适用性.

关键词: 无人机, 信道建模, 统计特性分析, 多输入多输出

Abstract: A stochastic model based on three-dimensional geometry for wideband non-stationary multi-input multi-output air to ground (A2G) channel is proposed. The model uses a single concentric cylindrical to simulate the distribution of the ground end scatterers, and further subdivides the non-line-of-sight component into the single-bounce scattering component and the ground reflection component. Time-varying angle and time-varying speed are introduced to simulate the non-stationarity of A2G channel. The space-time-frequency correlation function and space Doppler power spectral density function are derived. In addition,statistical characteristics such as envelope level crossing rate and average fading duration are also analyzed. The results show that the flight direction,altitude,elevation angle and other parameters of unmanned aerial vehicle can significantly affect the channel statistics and non-stationarity. The simulated values and the measured data match well, which indicates the correctness and applicability of the proposed channel model.

Key words: unmanned aerial vehicle, channel model, statistical characteristic analysis, multi-input multi-output

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