Efficient design of block adaptive equalization and diversity combining for space-time block-coded single-carrier systems

In this paper, a weighted space-time block-coding (STBC)-like matrix-wise block adaptive frequency-domain equalization (WSB-FDE), which has a flexibility over the STBC-like matrix-wise block length as compared to a normalized least-mean-square (NLMS)-FDE and a recursive-least-square (RLS)-FDE, is proposed for the cyclic-prefixed STBC single-carrier systems equipped with a diversity combining. In the WSB-FDE, the STBC-like matrix-wise block is first formulated from received blocks. The correction terms of the equalizer coefficients in each block are then updated so as to minimize a weighted squared-norm of the a posteriori error vector for the formulated block. Moreover, a square-root adaptive algorithm based on an unitary Givens rotation is proposed to achieve the numerical stability and computational efficiency in update procedure of the WSB-FDE. The theoretic convergence and the steady-state excess mean-square error (EMSE) of the WSB-FDE are analyzed, where it is observed that the EMSE decreases as the STBC-like matrix-wise block length and the number of antenna increase. Finally, the performance evaluation shows in a typical urban (TU) channel that the bit-error-rate (BER) performance of the WSB-FDE is superior to that of the RLS-FDE as the STBC-like matrix-wise block length increases.

[1]  R. Kalbasi,et al.  Single-carrier frequency domain equalization , 2008, IEEE Signal Processing Magazine.

[2]  Wasfy B. Mikhael,et al.  A Fast Block FIR Adaptive Digital Filtering Algorithm with Individual Adaption of Parameters , 1989 .

[3]  Martin V. Clark Adaptive frequency-domain equalization and diversity combining for broadband wireless communications , 1998, IEEE J. Sel. Areas Commun..

[4]  David D. Falconer,et al.  Tracking properties and steady-state performance of RLS adaptive filter algorithms , 1986, IEEE Trans. Acoust. Speech Signal Process..

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

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

[7]  Mansoor Shafi,et al.  EDGE: Enhanced Data Rates for GSM and TDMA/136 Evolution , 2002 .

[8]  Jong-Soo Seo,et al.  A Weighted STBC-Block Adaptive Frequency Domain Equalization for Single-Carrier Systems in Frequency-Selective Time-Varying Channels , 2007, 2007 IEEE Wireless Communications and Networking Conference.

[9]  Kareem E. Baddour,et al.  Analysis of optimum diversity combining and decision feedback equalization in dispersive Rayleigh fading , 1999, 1999 IEEE Communications Theory Mini-Conference (Cat. No.99EX352).

[10]  M. V. Clark Adaptive frequency-domain equalization and diversity combining for broadband wireless communications , 1998, VTC '98. 48th IEEE Vehicular Technology Conference. Pathway to Global Wireless Revolution (Cat. No.98CH36151).

[11]  U. Mengali,et al.  Channel estimation for adaptive frequency-domain equalization , 2005, IEEE Transactions on Wireless Communications.

[12]  Jong-Soo Seo,et al.  A Weighted Element-wise Block Adaptive Frequency-Domain Equalization in Frequency-selective Time-varying Channels , 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

[13]  Chin-Liang Wang,et al.  In the optimum design of the block adaptive FIR digital filter , 1993, IEEE Trans. Signal Process..

[14]  Umberto Spagnolini,et al.  Pilot-based channel estimation for OFDM systems by tracking the delay-subspace , 2004, IEEE Transactions on Wireless Communications.

[15]  Yu Zhu Frequency domain equalization for single carrier broadband wireless communications , 2007 .

[16]  Ye Li Pilot-symbol-aided channel estimation for OFDM in wireless systems , 1999, 1999 IEEE 49th Vehicular Technology Conference (Cat. No.99CH36363).

[17]  Ali H. Sayed,et al.  Efficient adaptive receivers for joint equalization and interference cancellation in multiuser space-time block-coded systems , 2003, IEEE Trans. Signal Process..

[18]  W. Mikhael,et al.  Fast algorithms for block FIR adaptive digital filtering , 1987 .

[19]  Simon Haykin,et al.  Adaptive Filter Theory 4th Edition , 2002 .

[20]  Ali H. Sayed,et al.  A unified approach to the steady-state and tracking analyses of adaptive filters , 2001, IEEE Trans. Signal Process..