CMA-Based Channel Estimation for Space-Time Block Coding Transmission Systems

In this paper, we present channel estimation methods for space-time block coding (STBC) transmissions using constant modulus algorithm (CMA). The channel estimates are directly calculated from the convergence value of the CMA. Two algorithms using the channel-vector-based and channel-gain-based constant modulus (CM) criteria are proposed. An approximation of the CM cost function is introduced to allow the use of the recursive least-square (RLS) technique in designing fast RLS-CMA's. Performance of the proposed schemes is evaluated and compared with others using simulation. Illustrative results show that the proposed scheme outperforms the cross-correlated method and can approach the performance of the training-based method.

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

[2]  Lang Tong,et al.  Relationships Between the Constant Modulus and Wiener Receivers , 1998, IEEE Trans. Inf. Theory.

[3]  A. Robert Calderbank,et al.  Space-Time Codes for High Data Rate Wireless Communications : Performance criterion and Code Construction , 1998, IEEE Trans. Inf. Theory.

[4]  Arogyaswami Paulraj,et al.  An analytical constant modulus algorithm , 1996, IEEE Trans. Signal Process..

[5]  I. Fijalkow,et al.  Adaptive fractionally spaced blind equalization , 1994, Proceedings of IEEE 6th Digital Signal Processing Workshop.

[6]  P. Kumar,et al.  Theory and practice of recursive identification , 1985, IEEE Transactions on Automatic Control.

[7]  Georgios B. Giannakis,et al.  Space-time block-coded multiple access through frequency-selective fading channels , 2001, IEEE Trans. Commun..

[8]  A. Robert Calderbank,et al.  Space-time codes for high data rate wireless communication: performance criteria in the presence of channel estimation errors, mobility, and multiple paths , 1999, IEEE Trans. Commun..

[9]  Mendoza Freedie Damasco..  Simple transmit diversity technique for wireless communications , 2003 .

[10]  A. Grant.  Joint decoding and channel estimation for space-time codes , 2000, Vehicular Technology Conference Fall 2000. IEEE VTS Fall VTC2000. 52nd Vehicular Technology Conference (Cat. No.00CH37152).

[11]  Lang Tong,et al.  An analysis of constant modulus receivers , 1999, IEEE Trans. Signal Process..

[12]  N. Seshadri,et al.  Increasing data rate over wireless channels , 2000, IEEE Signal Process. Mag..

[13]  A. L. Swindlehurst.  Blind separation of space-time block coded signals via the analytic constant modulus algorithm , 2002, Sensor Array and Multichannel Signal Processing Workshop Proceedings, 2002.

[14]  Inbar Fijalkow,et al.  Fractionally spaced equalization using CMA: robustness to channel noise and lack of disparity , 1997, IEEE Trans. Signal Process..

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

[16]  C. Richard Johnson,et al.  Performance analysis of Godard-based blind channel identification , 2001, IEEE Trans. Signal Process..

[17]  Georgios B. Giannakis,et al.  Space-time coding for broadband wireless communications , 2003, Wirel. Commun. Mob. Comput..

[18]  Anna Scaglione,et al.  Transmit antennae space-time block coding for generalized OFDM in the presence of unknown multipath , 2001, IEEE J. Sel. Areas Commun..

[19]  Philip Schniter,et al.  Blind equalization using the constant modulus criterion: a review , 1998, Proc. IEEE.

[20]  J. Treichler,et al.  A new approach to multipath correction of constant modulus signals , 1983 .

[21]  C. Richard Johnson,et al.  Bounds for the MSE performance of constant modulus estimators , 2000, IEEE Trans. Inf. Theory.

[22]  Lennart Ljung,et al.  Theory and Practice of Recursive Identification , 1983 .

[23]  A. Robert Calderbank,et al.  Space-time coding and signal processing for high data rate wireless communications , 2001, Wirel. Commun. Mob. Comput..

[24]  R. P. Gooch,et al.  Blind channel identification using the constant modulus adaptive algorithm , 1988, IEEE International Conference on Communications, - Spanning the Universe..

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