Skip to main content
Log in

Utilizing Space-Time Diversity for Wireless Communications

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

In this paper we consider the use of multiple antennas for wireless communication over fading channels.The fading we consider is quasi-static flat Rayleigh fading. For such a scenario optimal SNR schemes are derived when the transmitter knows the channel and when the transmitter does not know the channel. But in both cases the receiver has to estimate the channel. When the SNR during channel estimation is reasonably high we derive expressions to show the impact of channel estimation errors on SNR.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. D.G. Brennan, “Linear Diversity Combining Techniques”, Proc. IRE, Vol. 47, pp. 1075–1102, 1959.

    Google Scholar 

  2. G.J. Foschini and M.J. Gans, “On Limits ofWireless Communications in a Fading Environment when Using Multiple Antennas”, Wireless Personal Communications, Vol. 6, pp. 311–355, 1998.

    Google Scholar 

  3. G. Ganesan and P. Stoica, “Space-Only and Space-Time Processing for Wireless Channels”, in Proceedings of RVK'99, Karlskrona, Sweden, June 1999.

  4. M.J. Gans, “The Effect of Gaussian Error in Maximal Ratio Combiners”, IEEE Transactions on Communication Technology, Vol. COM-19, 1971.

  5. B.M. Hochwald and T.L. Marzetta, “Unitary Space-Time Modulation for Multiple-Antenna Communications in Rayleigh Flat Fading”, IEEE Trans. on Info. Theory, Vol. 46, pp. 543–564, 2000.

    Google Scholar 

  6. R.A. Horn and C.R. Johnson, Matrix Analysis, Cambridge University Press: Cambridge, 1990.

    Google Scholar 

  7. W.C. Jakes, Microwave Mobile Communications, John Wiley: New York, 1974.

    Google Scholar 

  8. L.R. Khan, “Ratio Squarer”, Proc. IRE (Corresp.), Vol. 42, p. 1704, 1954.

    Google Scholar 

  9. T.K.Y. Lo, “Maximum Ratio Transmission”, IEEE Trans. on Communications, Vol. 47, pp. 1458–1461, 1999.

    Google Scholar 

  10. A. Narula, M.D. Trott and G.W. Wornell, “Performance Limits of Coded Diversity Methods for Transmitter Antenna Arrays”, IEEE Trans. on Info. Theory, Vol. 45, pp. 2418–2433, 1999.

    Article  Google Scholar 

  11. R. Patel and M. Toda, “Trace Inequalities Involving Hermitian Matrices”, Linear Algebra and Its Applications, Vol. 23, pp. 13–20, 1979.

    Article  Google Scholar 

  12. A. Paulraj, C. Papadias and D. Gesbert, “Space Time Processing for Wireless Communication”, Preprint.

  13. A.J. Paulraj and C.B. Papadias, “Space-Time Processing for Wireless Communications”, IEEE Signal Proc. Magazine, pp. 49–83, 1997.

  14. J.G. Proakis, Digital Communications, McGraw-Hill: New York, 1989.

    Google Scholar 

  15. G.G. Raleigh and J.M. Cioffi, “Spatio-Temporal Coding for Wireless Communication”, IEEE Trans. on Communications, Vol. 46, pp. 357–366, 1998.

    Article  Google Scholar 

  16. V. Tarokh, N. Seshadri, and A.R. Calderbank, “Space-Time Codes for High Data Rate Wireless Communication: Performance Criterion and Code Construction”, IEEE Trans. on Info. Theory, Vol. 44, pp. 744–765, 1998.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Ganesan, G., Stoica, P. Utilizing Space-Time Diversity for Wireless Communications. Wireless Personal Communications 18, 149–163 (2001). https://doi.org/10.1023/A:1011238326358

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1011238326358