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计算机工程 ›› 2020, Vol. 46 ›› Issue (5): 224-229,239. doi: 10.19678/j.issn.1000-3428.0054973

• 移动互联与通信技术 • 上一篇    下一篇

高铁山地场景下的车地无线信道建模

李翠然, 张闻博, 吕安琪   

  1. 兰州交通大学 电子与信息工程学院, 兰州 730070
  • 收稿日期:2019-05-21 修回日期:2019-07-24 发布日期:2019-08-06
  • 作者简介:李翠然(1975-),女,教授、博士,主研方向为铁路无线通信、无线传感网、协同通信;张闻博、吕安琪,硕士研究生。
  • 基金资助:
    国家自然科学基金(61661025,61661026);兰州交通大学百名青年优秀人才培养计划(152022)。

Train-Ground Wireless Channel Modeling for High-Speed Railway inMountain Scene

LI Cuiran, ZHANG Wenbo, Lü Anqi   

  1. School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
  • Received:2019-05-21 Revised:2019-07-24 Published:2019-08-06

摘要: 高铁列车经过山地场景时由于散射体分布不均匀使得无线信号呈现明显的衰落特性。针对这一现象,提出一种在高速运行状态下列车与基站之间的车地无线信道建模方法。在列车相对基站的不同位置区间内,采用马尔科夫链模拟平均接收信噪比的状态变化,根据高铁山地场景中的路径损耗模型计算得到平均接收信噪比阈值、量化值及信道状态转移矩阵,从而建立有限状态马尔科夫链(FSMC)信道模型。仿真结果表明,与通过均匀与非均匀划分列车位置范围建立的信道模型相比,FSMC模型均方误差最小,可有效评估列车与基站之间的通信质量。

关键词: 有限状态马尔科夫链, 路径损耗, 平均接收信噪比, 无线信道, 均方误差

Abstract: When a train of high-speed railway passes through mountain scenes,the wireless signals show obvious fading characteristics due to the uneven distribution of scatterers.To address the problem,this paper proposes a wireless channel modeling method between the base station and the train running at a high speed.In different ranges of the train’s position relative to the base station,Markov chain is used to simulate the state changes of average received Signal to Noise Ratio(SNR).According to the path loss model of high-speed railway in mountainous scenario,the average SNR threshold,quantified value and the channel state transition matrix are calculated to establish the Finite State Markov Chain(FSMC) channel model.Simulation results show that the Mean Square Error(MSE) of the FSMC model proposed in this paper is the smallest compared with that of the channel model established by evenly and unevenly dividing the range of the train’s position,which demonstrates that the proposed model can effectively evaluate the quality of communication between the train and the base station.

Key words: Finite State Markov Chain(FSMC), path loss, average received Signal to Noise Ratio(SNR), wireless channel, Mean Square Error(MSE)

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