A reliable vehicle-to-vehicle (V2V) channel model is necessary for intelligent transportation systems (ITSs) design. Due to the high mobility of vehicles and the low heights of antennas, the line-of-sight (LOS) propagation paths in V2V communications are more likely to be obstructed by large vehicles such as buses. Therefore, it is worthwhile to conduct in-depth investigations on obstructed line-of sight (OLOS) propagation channels caused by vehicle obstructions. In this paper, actual V2V channel measurements with large vehicle obstructions at 5.9 GHz band are conducted. Based on the measured data, it can be found that the obstructions of large vehicles not only cause additional attenuation, but also significantly affect the angular distribution of multipath components (MPCs). In addition, a cluster-based dynamic V2V channel model is proposed for OLOS scenarios. In the proposed model, the influences of vehicle obstructions on path loss, delay and angle dispersion are intuitively embodied as changes in the statistical distribution of MPCs clusters. Finally, the rationality and accuracy of the proposed model is validated by comparing the measured and simulated channels. The results in the paper are useful for enriching the understanding of V2V channels and provide supports for vehicular communication systems design and performance evaluation.

中文翻译：

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具有大型车辆障碍物的车对车通道的测量和基于集群的建模

智能交通系统 (ITS) 设计需要可靠的车对车 (V2V) 通道模型。由于车辆的高机动性和低天线高度，V2V通信中的视线（LOS）传播路径更容易被公共汽车等大型车辆阻挡。因此，对车辆障碍物造成的视线障碍（OLOS）传播信道进行深入调查是值得的。在本文中，在 5.9 GHz 频段进行了具有大型车辆障碍物的实际 V2V 信道测量。根据实测数据可以发现，大型车辆的障碍物不仅会造成额外的衰减，还会显着影响多径分量（MPC）的角度分布。此外，针对 OLOS 场景提出了基于集群的动态 V2V 通道模型。在所提出的模型中，车辆障碍物对路径损耗、延迟和角度分散的影响直观地体现为 MPC 集群统计分布的变化。最后，通过实测通道与模拟通道的对比，验证了所提模型的合理性和准确性。论文结果有助于丰富对V2V通道的理解，并为车载通信系统设计和性能评估提供支持。通过实测通道与模拟通道的对比，验证了所提出模型的合理性和准确性。论文结果有助于丰富对V2V通道的理解，并为车载通信系统设计和性能评估提供支持。通过实测通道与模拟通道的对比，验证了所提出模型的合理性和准确性。论文结果有助于丰富对V2V通道的理解，并为车载通信系统设计和性能评估提供支持。