Novel Semi-blind Channel Estimation Schemes for Rayleigh Flat Fading MIMO Channels

In this paper, we propose two novel semi-blind channel estimation techniques based on QR decomposition for Rayleigh flat fading Multiple Input Multiple output (MIMO) channel using various pilot symbols. In the first technique, the flat-fading MIMO channel matrix H can be decomposed as an upper triangular matrix R and a unitary rotation matrix Q as H = RQ. The matrix R is estimated blindly from only received data by using orthogonal matrix triangularization based house holder QR decomposition, while the optimum rotation matrix Q is estimated exclusively from pilot based Orthogonal Pilot Maximum Likelihood Estimator (OPML) algorithm. In the second technique, joint semi-blind channel and data estimation is performed using QR decomposition based Least Square (LS) algorithm. Simulations have taken under 4-PSK data modulation scheme for two transmitters and six receiver antennas using various training symbols. Finally, these two new techniques compare with Whitening Rotation (WR) based semi-blind channel estimation technique and results shows that those new techniques achieve very nearby performance with low complexity compare to Whitening rotation based technique. Also first technique with perfect R outperforms Whitening Rotation based technique.

[1]  Karl-Dirk Kammeyer,et al.  Performance Analysis of Maximum-Likelihood Semiblind Estimation of MIMO Channels , 2006, 2006 IEEE 63rd Vehicular Technology Conference.

[2]  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).

[3]  M. Kießling,et al.  MIMO channel estimation in correlated fading environments , 2003, 2003 IEEE 58th Vehicular Technology Conference. VTC 2003-Fall (IEEE Cat. No.03CH37484).

[4]  Issa M. S. Panahi,et al.  Blind identification of multi-channel systems with single input and unknown orders , 2009, Signal Process..

[5]  M.E. Bialkowski,et al.  Investigation into a whitening-rotation-based semi-blind MIMO channel estimation for correlated channels , 2008, 2008 2nd International Conference on Signal Processing and Communication Systems.

[6]  Lajos Hanzo,et al.  Blind joint maximum likelihood channel estimation and data detection for SIMO systems , 2007, Int. J. Autom. Comput..

[7]  D.T.M. Slock,et al.  Asymptotic performance of ML methods for semi-blind channel estimation , 1997, Conference Record of the Thirty-First Asilomar Conference on Signals, Systems and Computers (Cat. No.97CB36136).

[8]  J.E. Mazo,et al.  Digital communications , 1985, Proceedings of the IEEE.

[9]  Yuan'an Liu,et al.  Channel estimation with pilot symbol and spatial correlation information , 2007, 2007 International Symposium on Communications and Information Technologies.

[10]  V. Umapathi Reddy,et al.  MIMO Communications - Motivation and a Practical Realization , 2007 .

[11]  Feng Wan,et al.  A Semiblind Channel Estimation Approach for MIMO–OFDM Systems , 2008, IEEE Transactions on Signal Processing.

[12]  Salah Bourennane,et al.  Semiblind Single-Carrier MIMO Channel Estimation Using Overlay Pilots , 2008, IEEE Transactions on Vehicular Technology.

[13]  Wei-Ping Zhu,et al.  Perturbation analysis of whitening-rotation-based semi-blind MIMO channel estimation , 2009, 2009 52nd IEEE International Midwest Symposium on Circuits and Systems.

[14]  Bhaskar D. Rao,et al.  Whitening-rotation-based semi-blind MIMO channel estimation , 2006, IEEE Transactions on Signal Processing.

[15]  Wei-Ping Zhu,et al.  Whitening-rotation-based semi-blind estimation of MIMO FIR channels , 2009, 2009 International Conference on Wireless Communications & Signal Processing.

[16]  Athina P. Petropulu,et al.  Frequency domain blind MIMO system identification based on second and higher order statistics , 2001, IEEE Trans. Signal Process..

[17]  Chintha Tellambura,et al.  Semiblind Channel Estimation and Data Detection for OFDM Systems With Optimal Pilot Design , 2007, IEEE Transactions on Communications.

[18]  Lajos Hanzo,et al.  Joint Maximum Likelihood Channel Estimation and Data Detection for MIMO Systems , 2007, 2007 IEEE International Conference on Communications.

[19]  Yu Ted Su,et al.  MIMO channel estimation in correlated fading environments , 2010, IEEE Transactions on Wireless Communications.

[20]  Driss Aboutajdine,et al.  A frequency domain-based approach for blind MIMO system identification using second-order cyclic statistics , 2009, Signal Process..

[21]  D.T.M. Slock,et al.  Linear prediction based semi-blind estimation of MIMO FIR channels , 2001, 2001 IEEE Third Workshop on Signal Processing Advances in Wireless Communications (SPAWC'01). Workshop Proceedings (Cat. No.01EX471).

[22]  S. Kay.  Fundamentals of statistical signal processing: estimation theory , 1993 .

[23]  D. Pal,et al.  Fractionally spaced semi-blind equalization of wireless channels , 1992, [1992] Conference Record of the Twenty-Sixth Asilomar Conference on Signals, Systems & Computers.