Semi-blind channel estimation in MIMO commumication by tensor factorization

In this paper, we introduce a tensor-factorization method for solving channel estimation problem in MIMO applications. we address the estimation problem through a 3-way tensor analysis. We represent the received signals in a 4 × 4 MIMO system as a third-order tensor with modes: receiver antennas, packet symbols, and number of packets. Then we demonstrate that the multi-way analysis of PARAFAC2 can be successfully used for solving the MIMO channel estimation problem. This method uses different m-Sequence training symbols for different transmitted signals on the transmitter side. For evaluating the method we applied the well known MMSE-VBLAST detection method to the estimated channel and the results are reported.

[1]  M.A. Jensen,et al.  A review of antennas and propagation for MIMO wireless communications , 2004, IEEE Transactions on Antennas and Propagation.

[2]  André Lima Férrer de Almeida,et al.  Multiuser MIMO system using block space-time spreading and tensor modeling , 2008, Signal Process..

[3]  R. Bro,et al.  PARAFAC2—Part I. A direct fitting algorithm for the PARAFAC2 model , 1999 .

[4]  A. Postula,et al.  Investigations into a semi-blind channel estimation technique for 2x2 MIMO system , 2007, 2007 IEEE Antennas and Propagation Society International Symposium.

[5]  Nikos D. Sidiropoulos,et al.  Parallel factor analysis in sensor array processing , 2000, IEEE Trans. Signal Process..

[6]  Jacob Benesty,et al.  A fast recursive algorithm for optimum sequential signal detection in a BLAST system , 2003, IEEE Trans. Signal Process..

[7]  Reinaldo A. Valenzuela,et al.  V-BLAST: an architecture for realizing very high data rates over the rich-scattering wireless channel , 1998, 1998 URSI International Symposium on Signals, Systems, and Electronics. Conference Proceedings (Cat. No.98EX167).

[8]  Nikos D. Sidiropoulos,et al.  Blind PARAFAC receivers for DS-CDMA systems , 2000, IEEE Trans. Signal Process..

[9]  R. Bro.  PARAFAC. Tutorial and applications , 1997 .

[10]  Bhaskar D. Rao,et al.  A semi-blind technique for MIMO channel matrix estimation , 2003, 2003 4th IEEE Workshop on Signal Processing Advances in Wireless Communications - SPAWC 2003 (IEEE Cat. No.03EX689).