Skip to main content
Article thumbnail
Location of Repository

Maximum likelihood receivers for space-time coded MIMO systems with gaussian estimation errors

By Yunfei Chen and Norman C. Beaulieu


Maximum likelihood (ML) receivers for space-time coded multiple-input multiple-output (MIMO) systems with Gaussian channel estimation errors are proposed. Two different cases are considered. In the first case, the conditional probability density function (PDF) of the channel estimate is assumed Gaussian and known. In the second case, the joint PDF of the channel estimate and the true channel gain is assumed Gaussian and known. In addition to ML signal detection for space-time coded MIMO with ML and minimum mean-squared-error channel estimation, ML signal detection without channel estimation is also studied. Two suboptimal structures are derived. The Alamouti space-time codes are used to examine the performances of the new receivers. Simulation results show that the new receivers can reduce the gap between the conventional receiver with channel estimation errors and the receiver with perfect channel knowledge at least by half in some cases

Topics: TK
Publisher: IEEE
OAI identifier:

Suggested articles


  1. (1998). A simple transmitter diversity scheme for wireless communications,” doi
  2. (2000). A space-time model for frequency nonselective Rayleigh fading channels with applications to space-time modems,” doi
  3. (2006). Capacity and power allocation for fading MIMO channels with channel estimation error,” doi
  4. (2002). Channel and capacity estimation errors,” doi
  5. (2004). Effect of imperfect channel estimation on transmit diversity in doi
  6. (2006). Error probability of coded STBC systems in block fading environments,” doi
  7. (2005). Error propagation analysis of V-BLAST with channel-estimation errors,” doi
  8. (2002). Fading channels: how perfect need ”perfect side information” doi
  9. (2000). Fading correlation and its effect on the capacity of multelement antenna systems,” doi
  10. (1993). Fundamentals of Statistical Signal Processing: Estimation Theory. Upper Saddle River,
  11. (2004). Great expectations: the value of spatial diversity in wireless networks,” doi
  12. (2006). Imperfect channel-state information in doi
  13. (1996). Layered space-time architecture for wireless communication in a fading environment when using multiple antenna elements,” doi
  14. (2006). Novel diversity receivers in the presence of Gaussian channel estimation errors,” doi
  15. (2005). On the information throughput and optimized power allocation for MIMO wireless systems with imperfect channel estimation,” doi
  16. (2007). Optimal pilot spacing and power in rate-adaptive MIMO diversity systems with imperfect CSI,” doi
  17. (2005). Performance analysis of space-time coding with imperfect channel estimation,” doi
  18. (2004). Performance and optimized design of space-time codes for MIMO wireless systems with imperfect channel estimates,” doi
  19. (2003). Pilot-assisted estimation of MIMO fading channel response and achievable data rates,” doi
  20. (1999). Space-time block codes from orthogonal designs,” doi
  21. (1999). Space-time codes for high data rate wireless communication: performance criteria in the presence of channel estimation errors, mobility, and multiple paths,” doi
  22. (2005). Space-time decoding with imperfect channel estimation,” doi
  23. (2000). The effect upon channel capacity in wireless communications of perfect and imperfect knowledge of the channel,” doi
  24. (2004). The effects of channel estimation errors on a space-time spreading CDMA system with dual transmit and dual receive diversity,” doi

To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.