Performance of zero-forcing detectors over MIMO flat-correlated Ricean fading channels

Performance of zero-forcing detectors over MIMO flat-correlated Ricean fading channels

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

Buy article PDF
(plus tax if applicable)
Buy Knowledge Pack
10 articles for $120.00
(plus taxes if applicable)

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

You must fill out fields marked with: *

Librarian details
Your details
Why are you recommending this title?
Select reason:
IET Communications — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

The bit error rate (BER) performance of the zero-forcing (ZF) receiver over transmit-correlated flat Ricean fading channels is investigated. In particular, for a multiple-input multiple-output (MIMO) channel with M transmit and N receive antennas, an approximation for the average BER of each substream is derived. Then the system performance in receive-correlated flat Ricean fading channels is addressed. In this case, it is shown that the performance, when N=M, is the same as that of transmit-correlated flat Ricean fading channels. A closed-form expression for the optimum transmit correlation coefficient, which achieves the maximum capacity (i.e. uncorrelated case), is also derived. As a result, a significant capacity gain is achieved by exploiting the knowledge of the Ricean channel. Extensive simulations are presented to validate and demonstrate the performance gain with different system parameters.


    1. 1)
    2. 2)
      • E. Telatar . Capacity of multi-antenna Gaussian channels. Eur. Trans. Telecommun. , 6 , 585 - 595
    3. 3)
      • R.W. Health , D.J. Love . Multimode antenna selection for spatial multiplexing systems with linear receivers systems. IEEE Trans. Signal Process. , 8 , 3042 - 3056
    4. 4)
      • Gore, D., Health, R.W., Paulraj, A.: `On performance of the zero forcing receiver in presence of transmit correlation', Proc. IEEE Int. Symp. Information Theory (ISIT), June–July 2002, Lausanne, Switzerland, p. 159.
    5. 5)
      • Khalighi, M.A., Brossier, J.M., Jourdain, G., Raoof, K.: `On capacity of Ricean MIMO channels', Proc. IEEE Int. Symp. on Personal Indoor and Mobile Communications (PIMRC), September 2001, San Diego, USA, p. 150–154.
    6. 6)
    7. 7)
    8. 8)
    9. 9)
    10. 10)
    11. 11)
    12. 12)
    13. 13)
    14. 14)
    15. 15)
    16. 16)
    17. 17)
      • H. Bolcskei , M. Ibnkahla . (2004) Principles of MIMO-OFDM wireless systems, Signal processing for mobile communications handbook.
    18. 18)
      • R.J. Muirhead . (2005) Aspects of multivariate statistical theory, Wiley series in probability and statistics.
    19. 19)
    20. 20)
      • W.Y. Tan , R.P. Gupta . On approximating the non-central Wishart distribution with Wishart distribution. Commun. Stat. Theory Method. , 22 , 2589 - 2600
    21. 21)
      • J.G. Proakis . (1995) Digital communications.
    22. 22)
    23. 23)
    24. 24)

Related content

This is a required field
Please enter a valid email address