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A Transmit and Receive Multi-Antenna Channel Model and Simulator for Communications from High Altitude Platforms

  • Emanuela FallettiEmail author
  • Fabrizio Sellone
  • Candida Spillard
  • David Grace
Article

Abstract

The interest of the scientific and industrial communities on the application of high altitude stratospheric platforms to communications is increasingly growing. Several research projects and field trials are being carried out by international consortia and specific portions of the electromagnetic spectrum have been allocated by the International Telecommunications Union (ITU) for communications applications. The channel experienced by such systems plays a key role for the provision of reliable communications services but, unfortunately, its inherent characteristics are substantially different from those of other channel typologies. Therefore, in order to design and simulate effective propagation impairment mitigation techniques such as adaptive modulation and coding or adaptive beamforming and equalization algorithms, an ad hoc channel model and simulator is definitively required. In this paper a novel channel model and a related channel simulator especially tailored for HAP-based communication systems are presented. The model is conceived for link-level simulations of point-to-point communication links, wherein both the transmitter and the receiver may be equipped with an array of antennas. Peculiar physical effects of the stratospheric channel are taken into account as well as impairments due to the possible presence of scatterers and relative movement of both transmitting and receiving stations. The structure of the channel simulator has been conceived to maintain the computational burden at required by the channel simulator is kept low by an efficient tapped delay line implementation.

Keywords

Finite Impulse Response Filter Smart Antenna Autocorrelation Matrix Channel Simulator Doppler Angle 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Tozer T. C., Grace D., (2001) High altitude platforms for wireless communications. IEE Electronics & Communication Engineering Journal 13(3): 127–137CrossRefGoogle Scholar
  2. 2.
    Radio Regulations of ITU, Itu-r p. series of regulations, Geneva, Edition, 2001Google Scholar
  3. 3.
    J. Thornton, D. Grace, C. Spillard, T. Konefal, and T. C. Tozer, Broadband communications from a high-altitude platform: The European HeliNet solution, Electronics and Communications Engineering Journal Vol. 13, 2001Google Scholar
  4. 4.
    G. White, Y. Zakharov, and A. Burr, Spectral-domain WCDMA receiver for fast fading channels, 7th International Symposium on Wireless Personal Multimedia Communications (WPMC 2004), Abano Terme, Italy, pp. 12–15, September 2004Google Scholar
  5. 5.
    M. Mondin et al., Report on required adaptations of radio interface and on baseband signal processing, CAPANINA Deliverable no. CAP-D15-WP23-POL-PUB-01, October 2004, www.capanina.org.Google Scholar
  6. 6.
    M. Mohorčič, et al., Selection of broadband communication standard for high-speed mobile scenario. CAPANINA Deliverable no. CAP-D09-WP21-JSI-PUB-01, February 2005, www.capanina.org.Google Scholar
  7. 7.
    D. Grace, J. Thornton, T. Konefal, C. Spillard, and T.C. Tozer, Broadband communications from high altitude platforms – the helinet solution, Fourth International Symposium on Wireless Personal Multimedia Communications (WPMC01), Aarlborg, Denmark, 2001Google Scholar
  8. 8.
    A. Stéphenne, and B. Champagne, Effective multi-path vector channel simulator for antenna array systems, IEEE Transactions on Vehicular Technology, Vol. 49, No. 6, pp. 2370–2381CrossRefGoogle Scholar
  9. 9.
    P. A. Bello, Characterization of randomly time variant linear channels, IEEE Transactions on Communications, Vol. IT-15, pp. 360–393, 1963CrossRefGoogle Scholar
  10. 10.
    W. C. Y. Lee, Effects on correlation between two mobile radio base stations antennas, IEEE Transactions on Communications, Vol. COM-11, pp. 1214–1224, 1972Google Scholar
  11. 11.
    M. J. Gans, A power spectral theory of propagation in the mobile radio environment, IEEE Transactions on Vehicular Technology, Vol. VT-21, pp. 27–38, 1972CrossRefGoogle Scholar
  12. 12.
    W. C. Jakes, Microwave Mobile Communications. IEEE Press, New York, 1974Google Scholar
  13. 13.
    Dersch U., Rüegg R. J. (1993) Simulations of the time and frequency selective outdoor mobile radio channel. IEEE Trans. on Vehicular Technology 42: 338–344CrossRefGoogle Scholar
  14. 14.
    Lutz E., Cygan D., Dippold M., Dolainsky F., Papke W. (1991) The land mobile satellite communication channel-recording, statistics, and channel model. IEEE Trans. on Vehicular Technology 40(2): 375–386CrossRefGoogle Scholar
  15. 15.
    R. B. Ertel, P. Cardieri, K. W. Sowerby, T. S. Rappaport, J. H. Reed (1998) Overview of spatial channel models for antenna array communication systems, IEEE Personal Communications 5(1): 10–21CrossRefGoogle Scholar
  16. 16.
    Ertel R. B., Reed J. H. (1999) Angle and time of arrival statistics for circular and elliptical scattering models. IEEE Journal on Selected Areas in Communications 17(11): 1829–1840CrossRefGoogle Scholar
  17. 17.
    G. Sciascia, S. Scalise, H. Ernst, and R. Mura, Statistical characterization if the railroad satellite channel at Ku-band, COST 280 workshop, ESTEC, NL, May 2003Google Scholar
  18. 18.
    U.-C. Fiebig, L. Castanet, J. Lemorton, E. Matricciani, F. Prez-Fontn, C. Riva, and R. Watson, Review of propagation channel modelling, COST 280 workshop, ESTEC, NL, May 2003, Available at: http://www.cost280.rl.ac.uk/documents/WS2 Proceedings/ws2.htmGoogle Scholar
  19. 19.
    J. L. Cuevas-Ruíz and J. A. Delgado-Penín, Channel model based on semi-markovian processes, an approach for HAPS systems, 14th International Conference on Electronics, Communications, and Computers (CONIELECOMP 2004), Veracruz, Mexico, 16–18 February 2004Google Scholar
  20. 20.
    U.-C. Fiebig, A time-series generator modelling rain fading, Proc. Open Symposium on Propagation and Remote Sensing, URSI Commission F, Garmisch-Partenkirchen, Germany, 2002, Avalable at: http://www.kn-s.dlr.de/Projects/kaband/kaband_l60198.htmlGoogle Scholar
  21. 21.
    Radio Regulations of ITU, Itu-r p. 1623. Geneva, Edition, 2001Google Scholar
  22. 22.
    Radio Regulations of ITU, Itu-r p. 618_7. Geneva, Edition, 2001Google Scholar
  23. 23.
    Radio Regulations of ITU, Itu 1500. Geneva, Edition, 2001Google Scholar
  24. 24.
    R. Hoppe, P. Wertz, F. M. Landstorfer, and G. Wölfle, Advanced ray optical wave propagation modelling for urban and indoor scenarios including wideband properties, European Transactions on Telecommunications, Vol. 01/2003, January–February, pp. 61–69, 2003Google Scholar
  25. 25.
    J. C. Liberti and T. S. Rappaport, A geometrically based model for line-of-sight multipath radio channels, 1996 Vehicular Technology Conference, VTC’96, pp. 844–848, April 1996Google Scholar
  26. 26.
    P. Petrus, J. H. Reed, and T. S. Rappaport, Geometrically based statistical channel model for macrocellular mobile environments, Proceedings of the IEEE Globecom ’96, pp. 1197–1201, 1996Google Scholar
  27. 27.
    Petrus P., Reed J. H., Rappaport T. S. (2002) Geometrical-based statistical macrocell channel model for mobile environments. IEEE Trans. onCommunications 50(3): 495–502CrossRefGoogle Scholar
  28. 28.
    Donald E. Kerr (ed.), Propagation of Short Radio Waves, Section 1.2, MIT Radiation Laboratory series, McGraw-Hill, 1951Google Scholar
  29. 29.
    A. K. Shukla, A. Seville, D. Ndzi, J. Ritcher, and D. Eden, Description of a generic vegetation attenuation model for 1–60 ghz, COST 280 international workshop, Marvern, July 2002Google Scholar
  30. 30.
    Jahn A. (2001) Propagation considerations and fading countermeasures for mobile multimedia services. Int. Journal of Satellite Communications 19: 223–250CrossRefGoogle Scholar
  31. 31.
    Godara L.C. (1997) Application of antenna arrays to mobile communications, Part II: Beam forming and direction-of-arrival considerations. Proceedings ofthe IEEE 85(8): 1193–1245CrossRefGoogle Scholar
  32. 32.
    Liberti J.C., Rappaport T.S. (1999) Smart Antennas for Mobile Communications, Prentice-Hall, Communications Engineering and Emerging Technologies Series, Upper Saddle River, NJ, USAGoogle Scholar
  33. 33.
    Rappaport T.S. (1996) Wireless Communications: principles & practice, Prentice-Hall, Upper Siddle River, New JerseyGoogle Scholar
  34. 34.
    C. Spillard, et al., Topology and mobility effects on links, CAPANINA Report no. CAP-0054-WP22-UOY-CON-P01, December 2004Google Scholar
  35. 35.
    E. Del Re and L. Pierucci (eds.), Satellite Personal Communications for Future-generation Systems - Final Report: COST 252 Action, Springer, 2002Google Scholar
  36. 36.
    M. Abramowitz and I. A. Stegun (eds.)., Bessel Functions J and Y, in Handbook of Mathematical Functions with Formulas, Graphs and Mathematical Tables, 10th Printing, Dover Publications, Inc., New York, 1972Google Scholar

Copyright information

© Springer Science+Business Media, Inc. 2006

Authors and Affiliations

  • Emanuela Falletti
    • 1
    Email author
  • Fabrizio Sellone
    • 1
  • Candida Spillard
    • 2
  • David Grace
    • 2
  1. 1.Dipartimento di ElettronicaPolitecnico di TorinoTorino (TO)Italy
  2. 2.Department of ElectronicsThe University of YorkHeslingtonUK

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