Wireless Personal Communications

, Volume 62, Issue 4, pp 859–877 | Cite as

Characterization of the Ultra-Wideband Channel in Confined Environments with Diffracting Rough Surfaces

  • Abdellah ChehriEmail author
  • Paul Fortier
  • Pierre Martin Tardif


Accurate channel models are extremely important for the design of communications systems. Knowledge of the features of the channel provides communications system designers with the ability to predict the performance of the system for specific modulations, channel coding, and signal processing. This paper presents a statistical characterization of an Ultra-Wideband (UWB) propagation channel in an underground mine. Measurements were carried out in the 2–5 GHz frequency band. Various communication links were considered including both line-of-sight (LOS) and non-LOS (NLOS) scenarios. The measurement procedure allows us to characterize both the large-scale and the small-scale statistics of the channel. The aim here is to study in more details the statistical characteristics of the UWB propagation channel in an underground mine and to provide insight for future statistical channel modeling works. Channel characteristics examined include the distance and frequency dependency of path loss, shadowing fading statistics, and multipath temporal-domain parameter statistics such as the mean excess delay and the RMS delay spread. This work has been carried out by the underground communications research laboratory LRCS (The LRCS laboratory aims to develop research programs related to wireless telecommunications in underground mines. Research is conducted at its own facility as well as the CANMET experimental mine in Val-d’Or, Quebec, Canada), and the experimental mine CANMET (Canadian Center for Minerals and Energy Technology) in Val-d’or, Canada.


Ultra-Wideband Underground mines Channel models Multipath delay profiles Delay spread 


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  1. 1.
    Attiya A. M., Safaai-Jazi A. (2004) Simulation of ultra-wideband indoor propagation. Microwave and Optical Technology Letters 42(2): 103–108CrossRefGoogle Scholar
  2. 2.
    Cassioli D., Win M. Z., Molisch A. F. (2002) The ultra-wide bandwidth indoor channel: From statistical model to simulations. IEEE Journal on Selected Areas in Communications 20(6): 1247–1257CrossRefGoogle Scholar
  3. 3.
    Poon, A. S. Y., & Ho, M. (2003). Indoor multiple-antenna channel charaterization from 2 to 8 GHz. In IEEE international conference on communications (vol. 5, pp. 3519–3523).Google Scholar
  4. 4.
    Ghassemzadeh, S., Greenstein, L., Sveinsson, T., Kavcic, A., & Tarokh, V. (2003). UWB indoor path loss model for residential and commercial environments. In IEEE Vehicular Technology Conference—Fall (pp. 3120–3125). Orlando, USA.Google Scholar
  5. 5.
    Chong, C. C., Kim, Y., & Lee, S. (2005). Statistical characterization of the UWB propagation channel in various types of high-rise apartments. In Wireless communications and networking conference (pp. 944–949).Google Scholar
  6. 6.
    Karedal, J., Wyne, S., Almers, P., Tufvesson, F., & Molisch, A. F. (2004). UWB channel measurements in an industrial environment. IEEE Global Telecommunications Conference (vol. 6, 3511–3516).Google Scholar
  7. 7.
    Molisch, A. F., Kannan, B., Chong, C. C., Emami, S., Karedal, A., Kunisch, J., Schantz, H., Schuster, U., & Siwiak, K. (2004). IEEE 802.15.4a channel model—Final report. IEEE 802.15-04-0662-00-004a, San Antonio, TX, USA.Google Scholar
  8. 8.
  9. 9.
  10. 10.
  11. 11.
    Alvarez, A., Valera, G., Lobeira, M., & Garcia, J. L. (2003). New channel impulse response model for UWB indoor system simulations. IEEE Vehicular Technology Conference—Spring, Jeju, Korea, (pp. 1–5).Google Scholar
  12. 12.
    Kunisch, J., & Pamp, J. (2002). Measurement results and modeling aspects for the UWB radio channel. In IEEE conference on ultra wideband systems and technologies (pp. 19–23).Google Scholar
  13. 13.
    Rappaport T. S. (2002) Wireless communications: Principles and practice. Prentice Hall, Upper Saddle River, NJGoogle Scholar
  14. 14.
    Muqaibel, A. H. (2003). Characterization of ultra wideband communication channels. Ph.D. Thesis, Virginia Polytechnic Institute and State University.Google Scholar
  15. 15.
    Win M. Z., Scholtz R. A. (1998) On the robustness of ultra-wide bandwidth signals in dense multipath environments. IEEE Communications Letters 2(2): 51–53CrossRefGoogle Scholar
  16. 16.
    Zhu, F., Wu, Z., & Nassar, C. R. (2002). Generalized fading channel model with application to UWB. In Proceedings IEEE conference UWB systems and technologies (UWBST 02) (pp. 13–18). Baltimore, MD.Google Scholar
  17. 17.
    Abdi A., Kavech M. (2000) Performance comparison of three different estimators for Nakagami m-parameter using Monte Carlo simulation. IEEE Communications Letters 4: 119–121CrossRefGoogle Scholar
  18. 18.
    Howard S. J., Pahlavan K. (1992) Autoregressive modeling of wide-band indoor radio propagation. IEEE Transactions on Communications 40(9): 1540–1552CrossRefGoogle Scholar
  19. 19.
    Turin, W., Jana, R., Ghassemzadeh, S. S., Rice, C. W., & Tarokh, T. (2002). Autoregressive modelling of an indoor UWB radio channel. In IEEE conference on ultra wideband systems and technologies (pp. 71–74).Google Scholar
  20. 20.
    Chehri, A., Fortier, P., & Tardif, P. -M. (2006). Frequency-domain analysis of UWB channel propagation in underground mines. In 64th semi-annual IEEE vehicular technology conference—Fall, Montreal, Canada, (pp. 25–28)Google Scholar
  21. 21.
    Foerster, J. R., (2001). The effects of multipath interference on the performance of UWB systems in an indoor wireless channel. In IEEE Vehicular Technology Conference—Spring (vol. 2, pp. 1176–1180)Google Scholar
  22. 22.
    Hashemi H., Tholl D. (1994) Statistical modeling and simulation of the RMS delay spread of indoor radio propagation channels. IEEE Transactions on Vehicular Technology 43(1): 110–120CrossRefGoogle Scholar
  23. 23.
    Keignart, J., & Daniele, N. (2002). Subnanosecond UWB channel sounding in frequency and temporal domain. In IEEE conference ultra wideband systems and technologies (UWBST 2002) (pp. 25–30).Google Scholar
  24. 24.
    Ghassemzadeh, S. S., Jana, R., Rice, C. W., Turin, W., & Tarokh, V. (2002). A statistical path loss model for in-home UWB channels. In IEEE conference on ultra wideband systems and technologies (pp. 59–64).Google Scholar
  25. 25.
    Rusch, L., Prettie, C., Cheung, D., Li, Q., & Ho, M. (2003). Characterization of UWB propagation from 2 to 8 GHz in a residential environment, 2003, [Online]. Available:
  26. 26.
    Cassioli, D., Win, M. Z., & Molisch, A. R. (2001). A statistical model for the UWB indoor channel. In Proceedings IEEE VTC’01 Spring conference, (vol. 2, pp. 1159–1163)Google Scholar
  27. 27.
    Irahhauten Z., Nikookar H., Janssen G. J. M. (2004) An overview of ultra wide band indoor channel measurements and modeling. Microwave and Wireless Components Letters 14(8): 386–388CrossRefGoogle Scholar
  28. 28.
    Nerguizian C., Despins C., Affes S., Djadel M. (2005) Radio-channel characterization of an underground mine at 2.4 GHz. IEEE Transactions on, Wireless Communications 4(50): 2441–2453CrossRefGoogle Scholar
  29. 29.
    Liénard M., Degauque P. (2000) Natural wave propagation in mine environments. IEEE Transactions on Antennas and Propagation 48(9): 1326–1339CrossRefGoogle Scholar
  30. 30.
    Hamalainen, M., Talvitie, J., Hovinen, V., & Leppanen, P. (1998). Wideband radio channel measurement in a mine. In Proceedings of the 5th international symposium on spread spectrum techniques and applications (ISSSTA 98). Sun City, South Africa.Google Scholar

Copyright information

© Springer Science+Business Media, LLC. 2010

Authors and Affiliations

  • Abdellah Chehri
    • 1
    Email author
  • Paul Fortier
    • 1
  • Pierre Martin Tardif
    • 1
  1. 1.Department of Electrical and Computer EngineeringLaval UniversitySainte-Foy, QuebecCanada

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