Characterisation of a time-variant wireless propagation channel for outdoor short-range sensor networks

S. Wyne; T. Santos; A.P. Singh; F. Tufvesson; A.F. Molisch

Characterisation of a time-variant wireless propagation channel for outdoor short-range sensor networks

Access Full Text

Characterisation of a time-variant wireless propagation channel for outdoor short-range sensor networks

Author(s): S. Wyne ; T. Santos ; A.P. Singh ; F. Tufvesson ; A.F. Molisch
DOI: 10.1049/iet-com.2009.0117

For access to this article, please select a purchase option:

Buy article PDF

Buy Knowledge Pack

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership

Recommend Title Publication to library

IET Communications — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

Author(s): S. Wyne ¹ ; T. Santos ¹ ; A.P. Singh ² ; F. Tufvesson ¹ ; A.F. Molisch ³
- Affiliations: 1: Department of Electrical and Information Technology, Lund University, Lund, Sweden
  2: Department of Electrical and Information Technology, ST-Ericsson AB, Lund, Sweden
  3: Department of Electrical Engineering, University of Southern California, Los Angeles, USA
Source: Volume 4, Issue 3, 12 February 2010, p. 253 – 264
DOI: 10.1049/iet-com.2009.0117 , Print ISSN 1751-8628, Online ISSN 1751-8636

« Previous Article
Table of contents
Next Article »

Published

This study presents sample measurements and analysis characterising the radio channel for outdoor short-range sensor networks. A number of transmit and receive antennas are placed on the ground in an open area. The measured propagation channel is time varying because of the controlled motion of a person walking in the vicinity of the nodes. The statistics of both the line-of-sight (LOS) path and the scattered component of the measured channel are observed to be non-stationary. The channel (power) gains are found to be significantly influenced by the pedestrian movement, only when the LOS path is momentarily blocked. The authors present a generic approach to model receive signal fluctuations because of body blockage of the LOS path. Our approach, which is similar to the referenced work of Pagani and Pajusco, additionally models the time-variant Doppler spectrum of the residue (scattered) component of the measured channel, that is the remainder of the measured channel after the LOS path has been extracted. The proposed modelling approach is parameterised and validated from the measurements.

References

1. 1)
  - Herdin, M., Bonek, E.: `A MIMO correlation matrix based metric for characterizing non-stationarity', Proc. IST Mobile and Wireless Communications Summit, 2004, Lyon, France.
2. 2)
  - P. Pagani , P. Pajusco . Characterization and modeling of temporal variations on an ultrawideband radio link. IEEE Trans. Antennas Propag. , 11 , 3198 - 3206
3. 3)
  - Gehring, A., Steinbauer, M., Gaspard, I., Grigat, M.: `Empirical channel stationarity in urban environments', Proc. Fourth European Personal Mobile Communications Conf. (EPMCC, 01), 2001, Vienna, Austria.
4. 4)
  - A. Goldsmith . (2005) Wireless communications.
5. 5)
  - Y. Chen , N.C. Beaulieu . Estimators using noisy channel samples for fading distribution parameters. IEEE Trans. Commun. , 8 , 1274 - 1277
6. 6)
  - A.F. Molisch , F. Tufvesson , M. Ibnkahla . (2004) Multipath propagation models for broadband wireless systems, Digital signal processing for wireless communications handbook.
7. 7)
  - J.A. Gutíerrez , E.H. Callaway , R.L. Barrett . (2003) Low-rate wireless personal area networks: enabling wireless sensors with IEEE 802.15.4.
8. 8)
  - H. Akaike , S. Kotz , N.L. Johnson . (1992) Information theory and an extension of the maximum likelihood principle, Breakthroughs in statistics.
9. 9)
  - Medbo, J., Berg, J.E., Harrysson, F.: `Temporal radio channel variations with stationary terminal', Proc. IEEE VTC2004-Fall, 2004, 1, p. 91–95.
10. 10)
  - ‘Skycross inc’, http://www.skycross.com, accessed February 2009.
11. 11)
  - L.J. Greenstein , D.G. Michelson , V. Erceg . Moment-method estimation of the Ricean K-factor. IEEE Commun. Lett. , 6 , 175 - 176
12. 12)
  - U.G. Schuster , H. Bölcskei . Ultrawideband channel modeling on the basis of information-theoretic criteria. IEEE Trans. Wirel. Commun. , 7 , 2464 - 2475
13. 13)
  - R.S. Thomä , D. Hampicke , A. Richter , G. Sommerkorn , A. Schneider , U. Trautwein , W. Wirnitzer . Identification of time-variant directional mobile radio channels. IEEE Trans. Instrum. Meas , 357 - 364
14. 14)
  - A.F. Molisch , N. Mehta , J. Yedidia , J. Zhang . Performance of fountain codes in collaborative relay networks. IEEE Trans. Wirel. Commun. , 11 , 4108 - 4119
15. 15)
  - Bultitude, R.: `Methods for estimating and modeling consistency intervals, and the detection and simulation of changes on mobile radio channels', COST 2100, TD(08) 424, 2008, Wroclaw, Poland.
16. 16)
  - F. Akyildiz , W. Su , Y. Sankara subramaniam . A survey on sensor networks. IEEE Trans. Commun. Mag. , 8 , 102 - 114
17. 17)
  - Y. Hong , W. Huang , F. Chiu , C. Kuo . Cooperative communications in resource-constrained wireless networks. IEEE Signal Process. Mag. , 3 , 47 - 57
18. 18)
  - P. Hall , Y. Hao , Y. Nechayev , A. Alomalny , C. Constantinou , C. Parini , M. Kamarudin , T. Salim , D. Hee , R. Dubrovka , A. Owadally , W. Song , A. Serra , P. Nepa , M. Gallo , M. Bozzetti . Antennas and propagation for on-body communication systems. IEEE Antennas Propag. Mag. , 3 , 41 - 58
19. 19)
  - J. Yick , B. Mukherjee , D. Ghosal . Wireless sensor network survey. Comput. Netw. , 12 , 2292 - 2330
20. 20)
  - N. Balakrishnan , M. Kateri . On the maximum likelihood estimation of parameters of weibull distribution based on complete and censored data. Stat. Probab. Lett. , 17 , 2971 - 2975
21. 21)
  - Anderson, C., Volos, H., Headley, W., Muller, F., Buehrer, R.: `Low antenna ultra wideband propagation measurements and modeling in a forest environment', Proc. IEEE Wireless Communications and Networking Conf., 2008, p. 1229–1234.
22. 22)
  - Villanese, F., Scanlon, W.G., Evans, N.E.: `Statistical characteristics of pedestrian-induced fading for a narrowband 2.45 GHz indoor channel', Proc. IEEE VTC00-Fall, 2000, 2, p. 745–750.
23. 23)
  - A. Willig , K. Matheus , A. Wolisz . Wireless technology in industrial networks. Proc. IEEE , 6 , 1130 - 1151
24. 24)
  - See, C., Abd-Alhameed, R., Hu, Y., Horoshenkov, K.: `Wireless sensor transmission range measurement within the ground level', Proc. Loughborough Antennas and Propagation Conf., 2008, p. 225–228.
25. 25)
  - P. Almers , E. Bonek , A. Burr . Survey of channel and radio propagation models for wireless MIMO systems. EURASIP J. Wireless Commun. Netw.
26. 26)
  - C. Oestges , D. Vanhoenacker-Janvier , B. Clerckx . Channel characterization of indoor wireless personal area networks. IEEE Trans. Antennas Propag. , 11 , 3143 - 3150
27. 27)
  - W. Merrill , H. Liu , J. Leong , K. Sohrabi , G. Pottie . Quantifying short-range surface-to surface communications links. IEEE Antennas Propag. Mag. , 3 , 36 - 46

Login

Not registered yet?

Share

Tools

Login to add to favourites

Key

Characterisation of a time-variant wireless propagation channel for outdoor short-range sensor networks

Characterisation of a time-variant wireless propagation channel for outdoor short-range sensor networks

Buy article PDF

Buy Knowledge Pack

Thank you

References

Related content