Blind Channel Identification in (2 ×1) Alamouti Coded Systems Based on Maximizing the Eigenvalue Spread of Cumulant Matrices

Channel estimation in the (2 ×1) Alamouti space-time block coded systems can be performed blindly from the eigendecomposition (or diagonalization) of matrices composed of the receive antenna output 4th-order cumulants. In order to estimate the channel, we will propose to choose the cumulant matrix with maximum eigenvalue spread of cumulant-matrix. This matrix is determined in closed form. Simulation results show that the novel blind channel identification technique presents a satisfactory performance and low complexity.

[1]  Siavash M. Alamouti,et al.  A simple transmit diversity technique for wireless communications , 1998, IEEE J. Sel. Areas Commun..

[2]  Gene H. Golub,et al.  Matrix computations (3rd ed.) , 1996 .

[3]  J. Cardoso,et al.  Blind beamforming for non-gaussian signals , 1993 .

[4]  Raviraj S. Adve,et al.  Blind channel estimation for orthogonal STBC in MISO systems , 2004, IEEE Global Telecommunications Conference, 2004. GLOBECOM '04..

[5]  James F. Blinn Consider the lowly 2 x 2 matrix , 1996, IEEE Computer Graphics and Applications.

[6]  Jeffrey G. Andrews,et al.  Fundamentals of WiMAX: Understanding Broadband Wireless Networking (Prentice Hall Communications Engineering and Emerging Technologies Series) , 2007 .

[7]  Ignacio Santamaría,et al.  Blind Decoding of MISO-OSTBC Systems Based on Principal Component Analysis , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

[8]  Brian L. Hughes Differential Space-Time modulation , 2000, IEEE Trans. Inf. Theory.

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

[10]  Jeffrey G. Andrews,et al.  Fundamentals of WiMAX: Understanding Broadband Wireless Networking , 2007 .

[11]  A. Robert Calderbank,et al.  Space-Time block codes from orthogonal designs , 1999, IEEE Trans. Inf. Theory.