一种V2V多天线几何去极化信道建模

发布时间：2018-03-23 16:44

  本文选题：车对车通信　切入点：几何信道建模　出处：《计算机应用研究》2016年10期

【摘要】：随着极化相关技术的发展,极化调制在V2V(vehicle-to-vehicle)通信系统中的应用越来越广泛。但由于V2V通信环境复杂,极化调制在V2V通信中会产生去极化效应,从而影响通信质量。为了能够识别去极化效应的大小,提出一种新的基于几何散射理论的V2V多天线极化信道模型。该模型可通过已知的多天线配置、极化场辐射模式及散射体的空间分布,建立去极化效应模型,从而将信道的去极化效应由交叉极化鉴别度——XPD(cross polarization discrimination)的值表示,以拓展极化调制在V2V系统中的使用范围,提高传输速率。实验结果表明,XPD的值受到车辆间距离影响存在阈值,并强烈依赖于到达方位角的分布常数,且当到达方位角的值不同时,改变到达仰角的最大值的大小,XPD值的变化呈固定趋势。因此,所提出的多天线几何信道模型,成功地将极化引入多天线的V2V通信,可以为极化域通信的进一步研究奠定基础。
[Abstract]:With the development of polarization related technology, polarization modulation is more and more widely used in V2V / V2V / V / V communication system. However, because of the complexity of V2V communication environment, polarization modulation will produce depolarization effect in V2V communication. In order to identify the depolarization effect, a new V2V multiantenna polarization channel model based on geometric scattering theory is proposed. In order to expand the range of polarization modulation in V2V system, a depolarization effect model is established by using the radiation mode of polarization field and the spatial distribution of scatterer, and the depolarization effect of channel is expressed by the value of cross-polarization discrimination-XPD-cross polarization discrimination.Then, the polarization modulation can be used in V2V system. The experimental results show that the value of XPD is strongly dependent on the distribution constant of the azimuth angle of arrival, and when the value of the arrival angle is different, the value of XPD is affected by the distance between the vehicles at a threshold, and it is strongly dependent on the distribution constant of the azimuth of arrival. The change of XPD value of the maximum value of elevation angle is a fixed trend. Therefore, the proposed multi-antenna geometric channel model successfully introduces polarization into multi-antenna V2V communication, which can lay a foundation for further research in polarization domain communication.
【作者单位】： 宁夏大学物理电气信息学院信息工程系;宁夏沙漠信息智能感知重点实验室;北京市网络体系构建与融合重点实验室;
【基金】：国家自然科学基金资助项目(61561039,61461044) 宁夏自然基金资助项目(NZ14045) 宁夏大学科学研究基金资助项目(ZR1311)
【分类号】：U463.673
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本文编号：1654310