• DocumentCode
    180256
  • Title

    Statistical analysis and modeling of VLF/ELF noise in coal mines for through-the-earth wireless communications

  • Author

    Yan, L. ; Waynert, J. ; Sunderman, C. ; Damiano, N.

  • Author_Institution
    Nat. Inst. for Occupational Safety & Health (NIOSH), Pittsburgh, PA, USA
  • fYear
    2014
  • fDate
    5-9 Oct. 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The through-the-earth (TTE) wireless communication system, in which the RF signal can directly penetrate the earth separating a transmitter and receiver, is likely to survive a mine disaster because it requires no cabling between the surface and underground. One of the biggest challenges for TTE communication is that the ambient electromagnetic (EM) noise can be significant and impose a limitation on the reception sensitivity. Both underground and surface RF noise characteristics were obtained and analyzed from experimental data collected at several coal mines. The results show the surface has a higher noise level than underground. Moreover, the parameters obtained in an empirical noise model can be used to predict a TTE system´s performance at a specific mine site.
  • Keywords
    coal; disasters; mining; noise; radio receivers; radio transmitters; statistical analysis; RF signal; TTE system performance; TTE wireless communication system; VLF-ELF noise; ambient electromagnetic noise; coal mines; empirical noise model; mine disaster; statistical analysis; statistical modeling; surface RF noise characteristics; through-the-earth wireless communications; transmitter; Atmospheric measurements; Atmospheric modeling; Coal mining; Geophysical measurement techniques; Ground penetrating radar; Noise measurement; Statistical analysis; Loop antenna; Magnetic field; Mine communication; Through-the-earth; VLF/ELF noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industry Applications Society Annual Meeting, 2014 IEEE
  • Conference_Location
    Vancouver, BC
  • Type

    conf

  • DOI
    10.1109/IAS.2014.6978457
  • Filename
    6978457