摘要
车载(V2V)通信系统是未来智能交通系统的重要组成部分,其非平稳特性已经在信道测量中得到验证。针对V2V多入多出通信系统,提出一种非平稳双环几何随机信道模型。为了描述信道的非平稳性,将到达角(AOAs)和离开角(AODs)的时变特性引入模型中,推导了模型的空间互相关函数(CCF)和时间自相关函数(ACF)等时变统计特征。此外基于修正等面积法(MMEA),开发了相应的仿真模型,研究了散射环境、移动端的移动状态以及天线偏角对信道统计特性和非平稳性的影响。仿真结果表明,所提模型可以有效模拟V2V信道非平稳性,平稳状态下信道的统计特性与平稳双环模型的统计特性具有一致性,验证了本模型的正确性。
Vehicle-to-vehicle(V2 V)communication system is an important part of the future intelligent transportation system,and its non-stationary characteristics have been verified in channel measurement.A non-stationary double-ring geometry-based stochastic model is proposed for V2 V multiple-input multiple-output communication systems.In order to describe the non-stationarity of the channel,the time-varying characteristics of the angle of arrivals(AOAs)and the angle of departures(AODs)are introduced into the model,the time-varying statistical characteristics such as the spatial cross-correlation function(CCF)and the time autocorrelation function(ACF)of the model are derived.In addition,based on the modified equal area method(MMEA),the corresponding simulation model is developed.The effects of scattering environment,moving state of mobile terminal and antenna deflection on channel statistical characteristics and non-stationarity are studied.Simulation results show that the proposed model can effectively simulate the non-stationarity of the V2 V channel and the statistical characteristics of the channel under stationary state are consistent with those of the stationary double-ring model,which verifies the correctness of this model.
作者
尹柏强
侯金波
何怡刚
王署东
曾文波
韩睿
韩仕达
Yin Baiqiang;Hou Jinbo;He Yigang;Wang Shudong;Zeng Wenbo;Han Rui;Han Shida(School of Electrical Engineering and Automation,Hefei University of Technology,Hefei 230009,China)
出处
《电子测量与仪器学报》
CSCD
北大核心
2020年第6期54-62,共9页
Journal of Electronic Measurement and Instrumentation
基金
国家自然科学基金(61971175,51777050)
国家自然科学基金重点项目(51637004)
国家重点研发计划“重大科学仪器设备开发”项目(2016YFF0102200)
中央高校基本科研业务费(JZ2019YYPY0025)资助。
关键词
车载通信
非平稳特性
时变统计特征
修正等面积法
vehicle-to-vehicle communication
non-stationary
time-varying statistical characteristics
the modified equal area method
