马来西亚北部联网自动驾驶汽车试验台无线信号传播分析

M. A. Fadzilla, A. Harun, S. A. Bakar, M. Hashim, W. K. Wan, I. Ibrahim, A. R. Mahayadin, M. Rani, M. Isa
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摘要

联网和自动驾驶汽车(CAV)技术是业内研究最多的汽车技术之一,因为它对用户来说更高效、更灵活。本文讨论了在经批准的UniMAP电路中,在网联自动驾驶汽车试验台环境中观测到的信号分布。无线设备被用来在这样的环境中进行信道测量。收集数据,记录观察结果并进行分析。目的是分析和评估自动驾驶汽车应用中无线路边设备(如路口控制器)的信号传播特性。选择了两条重要的路径来表示环境,并测量了发射器到接收器的通信并记录了特征,其中路径1在沥青路面上,而路径2是砾石-沥青-草地的混合物。结果表明,在信号传播的扩散区域,两条路径的信号功率在前10 m都出现突然下降,然后开始在路径1的-62 dBm和-93 dBm之间波动,路径2的信号功率在-44 dBm和-79 dBm之间波动。从这些结果中,我们可以得出结论,信号剖面的性能相对于它们传播的不同表面而不同。这些结果肯定会对任何车辆到基础设施(V2I)技术的应用产生重大影响,因为事先要对信号传播进行分析,确保信号传输达到最佳状态。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Wireless Signal Propagation Analysis on Connected Autonomous Vehicle Test Bed in Northern Malaysia
Connected and Autonomous Vehicle (CAV) technologies are among the most heavily researched automotive technologies in the industry with regards to making it more efficient and flexible for the user. This paper discusses the signal profile observed on connected autonomous vehicle testbed environment in an approved UniMAP Circuit. Wireless devices were used to perform channel measurements in such an environment. Data were collected and observation was recorded and analysed. The purpose is to analyse and evaluate signal propagation properties for the optimization of wireless roadside devices in CAV application such as junction controller. Two important paths have been chosen to represent the environment and transmitter to receiver communications were measured and characteristics are recorded at which Path 1 is on a tar road while Path 2 is a mix of gravel-tar-grass field. The result shows that both paths show an abrupt decrease in signal power for the first 10 m showing the diffusion region of signal propagation and then starts to fluctuate between -62 dBm and -93 dBm for Path 1 while it fluctuates between -44 dBm and -79 dBm for Path 2. From these results, we can conclude that the performance of the signal profile differs relative to the different surfaces they propagate. These results will definitely have a major effect in the application of any Vehicle-to-Infrastructure (V2I) technologies in regards to signal propagation being analysed beforehand, making sure that the signal transmission works at its best.
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