SPC01-2: A New Blind Signal Separation Algorithm for Instantaneous MIMO System

We address the problem of adaptive blind source separation (BSS) from instantaneous multi-input multi- output (MIMO) channels. In this paper, we propose a new constant modulus (CM)-based algorithm which employ nonlinear function as the de-correlation term. Moreover, it is shown by theoretical analysis that the proposed algorithm has less mean square error (MSE), i.e., better separation performance, in steady state than the cross-correlation and constant modulus algorithm (CC-CMA). Numerical simulations show the effectiveness of the proposed result.

[2]  Jitendra K. Tugnait,et al.  Blind spatio-temporal equalization and impulse response estimation for MIMO channels using a Godard cost function , 1997, IEEE Trans. Signal Process..

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

[4]  C. Papadias,et al.  A constant modulus algorithm for multiuser signal separation in presence of delay spread using antenna arrays , 1997, IEEE Signal Processing Letters.

[5]  Charles R. Johnson,et al.  Matrix analysis , 1985, Statistical Inference for Engineers and Data Scientists.

[6]  Inbar Fijalkow,et al.  A globally convergent approach for blind MIMO adaptive deconvolution , 2001, IEEE Trans. Signal Process..

[7]  J. A. Chambers,et al.  Steady-state mean-square error analysis of the cross-correlation and constant modulus algorithm in a MIMO convolutive system , 2002 .

[8]  Karim Abed-Meraim,et al.  Blind source-separation using second-order cyclostationary statistics , 2001, IEEE Trans. Signal Process..

[9]  S. Haykin,et al.  Adaptive Filter Theory , 1986 .

[10]  Constantinos B. Papadias,et al.  Globally convergent blind source separation based on a multiuser kurtosis maximization criterion , 2000, IEEE Trans. Signal Process..

[11]  R. Cuninghame-Green,et al.  Applied Linear Algebra , 1979 .

[12]  A. Bos.  Complex gradient and Hessian , 1994 .

[13]  Zhi Ding,et al.  Global convergence of fractionally spaced Godard (CMA) adaptive equalizers , 1996, IEEE Trans. Signal Process..

[14]  Ali H. Sayed,et al.  A feedback approach to the steady-state performance of fractionally spaced blind adaptive equalizers , 2000, IEEE Trans. Signal Process..

[15]  Mohit Garg.  Multi-user Detection , 2005 .

[16]  Chunqi Chang,et al.  Sequential approach to blind source separation using second order statistics , 1997, Proceedings of ICICS, 1997 International Conference on Information, Communications and Signal Processing. Theme: Trends in Information Systems Engineering and Wireless Multimedia Communications (Cat..

[17]  C. Papadias,et al.  A space-time constant modulus algorithm for SDMA systems , 1996, Proceedings of Vehicular Technology Conference - VTC.

[18]  Hiroshi Suzuki,et al.  Constant Modulus Algorithm with Orthogonal Projection for Adaptive Array Antenna Multiuser Detection , 2003 .

[19]  Lang Tong,et al.  Indeterminacy and identifiability of blind identification , 1991 .

[20]  Hiroshi Furukawa,et al.  Cochannel interference reduction and path-diversity reception technique using CMA adaptive array antenna in digital land mobile communications , 2001, IEEE Trans. Veh. Technol..

[21]  D. Godard,et al.  Self-Recovering Equalization and Carrier Tracking in Two-Dimensional Data Communication Systems , 1980, IEEE Trans. Commun..

[22]  Ali H. Sayed,et al.  A time-domain feedback analysis of filtered-error adaptive gradient algorithms , 1996, IEEE Trans. Signal Process..

[23]  A. V. Keerthi,et al.  Steady-state analysis of the multistage constant modulus array , 1996, IEEE Trans. Signal Process..

[24]  Michael G. Larimore,et al.  New processing techniques based on the constant modulus adaptive algorithm , 1985, IEEE Trans. Acoust. Speech Signal Process..