Variable rank receiver structures for low-rank space-time channels

MMLSE is known to be the most suitable approach for space-time (S-T) receivers that requires the knowledge of the S-T channel response. In general we do not have the knowledge neither of the channel H nor of co-channel interference's (CCI) statistics, these have to be estimated by using training sequences. When short data preambles are available the large variance of the unconstrained estimate of the multichannel H can heavily affect the achievable performance. This paper illustrates the advantages of a low rank truncation of the whitened channel in a mobile radio scenario where the S-T diversity of the channel is almost limited. The benefits achievable with this class of low-rank receivers are the reduction the variance of the multichannel response estimate and the lower complexity compared to a full-rank solution. The performances in realistic scenarios demonstrate the advantages compared to conventional receivers.

[1]  Philippe Forster,et al.  Maximum likelihood multichannel estimation under reduced rank constraint , 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

[2]  Gregory E. Bottomley,et al.  Adaptive arrays and MLSE equalization , 1995, 1995 IEEE 45th Vehicular Technology Conference. Countdown to the Wireless Twenty-First Century.

[3]  T. Kailath,et al.  Generalized Displacement Structure for Block-Toeplitz,Toeplitz-Block, and Toeplitz-Derived Matrices , 1994 .

[4]  Bo Wahlberg,et al.  An adaptive array for mobile communication systems , 1991 .

[5]  A.J. Paulraj,et al.  Space-time processing for wireless communications , 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[6]  J. P. McGeehan,et al.  The performance enhancement of multibeam adaptive base-station antennas for cellular land mobile radio systems , 1990 .