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Measurement-based V2V radio channel analysis and modelling for bridge scenarios at 5.9 GHz

机译:基于测量的V2V无线电信道分析和5.9 GHz桥接方案建模

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In this study, vehicle-to-vehicle (V2V) radio channel measurements at 5.9 GHz were conducted on a suspension bridge and a beam bridge. Given that a different structure of the two bridges will result in different channel properties, the authors study small-scale and large-scale propagation characteristics for the bridge scenarios based on measurement data. By using Akaike's information criteria, the study determines optimal small-scale fading distribution. Owing to that Ricean distribution occupies the dominant position, Ricean K-factors in the two bridge scenarios are modelled separately and compared with each other. Afterwards, power delay profiles, Doppler power spectral densities, root-mean-square (RMS) delay spread and RMS Doppler spread are estimated and analysed in different cases. They employ bimodal Gaussian mixture distribution (BGMD) to model the RMS delay spreads and the RMS Doppler spreads. Fitting results of the BGMDs show good matching levels. For the large-scale propagation characteristics, path loss model for the beam bridge scenario is proposed based on the two-ray theory. On the other hand, path loss for the suspension bridge scenario is modelled by using an empirical function derived from WINNER II. Finally, grey relational grade-mean absolute percentage error, and RMS error criteria prove the effectiveness of the two proposed path loss models.
机译:在这项研究中,在悬索桥和波束桥上进行了5.9 GHz的车到车(V2V)无线电信道测量。鉴于两座桥的不同结构将导致不同的信道特性,作者根据测量数据研究了桥场景的小规模和大规模传播特性。通过使用赤池的信息准则,该研究确定了最佳的小规模衰落分布。由于Ricean分布占据主导地位,因此分别模拟了两个桥梁情景中的Ricean K因子,并将它们相互比较。然后,在不同情况下估计并分析了功率延迟曲线,多普勒功率谱密度,均方根(RMS)延迟扩展和RMS多普勒扩展。他们采用双峰高斯混合分布(BGMD)来建模RMS延迟扩展和RMS多普勒扩展。 BGMD的拟合结果显示出良好的匹配水平。针对大范围的传播特性,基于两射线理论,提出了束桥场景的路径损耗模型。另一方面,通过使用从WINNER II导出的经验函数对悬索桥场景的路径损耗进行建模。最后,灰色关联等级平均绝对百分比误差和RMS误差标准证明了所提出的两种路径损耗模型的有效性。

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