• DocumentCode
    18353
  • Title

    Empirical Models for Extra Propagation Loss of Train Stations on High-Speed Railway

  • Author

    Ke Guan ; Zhangdui Zhong ; Bo Ai ; Kurner, Thomas

  • Author_Institution
    State Key Lab. of Rail Traffic Control & Safety, Beijing Jiaotong Univ., Beijing, China
  • Volume
    62
  • Issue
    3
  • fYear
    2014
  • fDate
    Mar-14
  • Firstpage
    1395
  • Lastpage
    1408
  • Abstract
    Train stations are one of the largest and most unavoidable obstructions for electromagnetic wave propagation on a high-speed railway. They can bring about severe extra propagation loss, and therefore, lead to poor coverage or handover failure. However, their influence has been rarely investigated before. Based on rich experimental results of 930 MHz measurements conducted on train stations of high-speed railway in China, this paper proposes two empirical models for the extra propagation loss owing to train stations for the first time. The extra loss depends on four conditions: the distance between the transmitter (Tx) and the train station, the type of the train station, the track carrying the train, and the propagation mechanism zones. Hence, the models are established for every case of all the combinations of these four conditions. The validation shows that the proposed models accurately predict the extra propagation loss and support an effective way to involve the influence of the train station in the simulation and design of the signaling and train control communications systems.
  • Keywords
    radiowave propagation; railway communication; wireless channels; electromagnetic wave propagation; extra propagation loss; frequency 930 MHz; high speed railway; train control communications systems; train stations; Fading; Loss measurement; Planning; Propagation losses; Rail transportation; Rails; Transmitting antennas; High-speed railway; propagation modeling; railway communications; train station;
  • fLanguage
    English
  • Journal_Title
    Antennas and Propagation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-926X
  • Type

    jour

  • DOI
    10.1109/TAP.2013.2294468
  • Filename
    6680620