Point cloud-based environment reconstruction and ray tracing simulations for railway tunnel channels

Ziyi Qi, Ruisi He, Mi Yang, Xuejian Zhang, Bo Ai, Weiming Li, Shaopeng Wang, Wenpu Sun, Lizhe Li
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Abstract

Radio propagation environment plays a critical role in the performance of wireless communication systems, and understanding channel characteristics is vital for ensuring reliable communication links and optimizing system performance. Ray tracing is an effective method to investigate propagation characteristics in a complex environment, and how to quickly and accurately obtain environmental information needs to be solved. This paper presents dynamic environment reconstruction and ray tracing simulation in railway tunnel environment based on Simultaneous Localization and Mapping (SLAM) algorithm and Poisson reconstruction algorithm. Accurate channel parameters are obtained and analyzed based on ray tracing simulation. Both straight and curved tunnels are considered and investigated, and the results show the channel characteristics in complex railway tunnel environments.
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基于点云的铁路隧道通道环境重建与光线追踪模拟
无线电传播环境对无线通信系统的性能起着至关重要的作用,了解信道特性对于保证通信链路的可靠性和优化系统性能至关重要。光线追踪是研究复杂环境中传播特性的有效方法,如何快速准确地获取环境信息是需要解决的问题。本文提出了基于同步定位与映射(SLAM)算法和泊松重建算法的铁路隧道环境动态环境重建与光线追踪仿真。在光线追踪仿真的基础上,获得了准确的通道参数并进行了分析。对直线隧道和弯曲隧道进行了研究,研究结果揭示了复杂铁路隧道环境下的通道特性。
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