尹柏强,侯金波,何怡刚,王署东,曾文波,韩 睿,韩仕达.基于几何随机的非平稳车载信道建模及相关性分析[J].电子测量与仪器学报,2020,34(6):54-62 |
基于几何随机的非平稳车载信道建模及相关性分析 |
Modeling and correlation analysis for geometry-basednon-stationary vehicle-to-vehicle channel |
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DOI: |
中文关键词: 车载通信 非平稳特性 时变统计特征 修正等面积法 |
英文关键词:vehicle-to-vehicle communication non-stationary time-varying statistical characteristics the modified equal area method |
基金项目: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 |
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中文摘要: |
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。 |
英文摘要: |
Vehicle-to-vehicle (V2V) 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 V2V 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 nonstationarity of the V2V 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. |
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