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A Weighted Block Adaptive Estimation for STBC Single-Carrier System in Frequency-Selective Time-Varying Channels  

Baek, Jong-Seob (연세대학교 전기전자공학과 디지털전송 연구실)
Kwon, Hyuk-Jae (연세대학교 전기전자공학과 디지털전송 연구실)
Seo, Jong-Soo (연세대학교 전기전자공학과 디지털전송 연구실)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.32, no.3C, 2007 , pp. 338-347 More about this Journal
Abstract
In this paper, a weighted block adaptive channel estimation (WBA-CE) for a space-time block-coded (STBC) single-carrier transmission with a cyclic-prefix is proposed. In operation of the WBA-CE, a STBC matrix-wise block for filter input symbols is first formulated. Applying a weighted a posteriori error vector-based least-square (LS) criterion for this block, the coefficient correction terms of the WBA-CE are then computed. An approximate steady-state excess mean-square error (EMSE) of the WBA-CE for the stationary optimal coefficient is also analyzed. Simulation results show in a time-varying typical urban (TU) channel that the proposed channel estimator provides better bit-error-rate (BER) performances than conventional algorithms such as the NLMS and RLS channel estimators.
Keywords
Posteriori error; Adaptive channel estimation; Space-time block-coding;
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1 N. Al-Dhahir, 'Single-carrier frequency-domain equalization for space time-coded transmissions over frequency-selective fading channels,' IEEE Commun. Lett., vol. 5, no. 7, pp. 304-306, July 2001   DOI   ScienceOn
2 O. Simeone, Y. B. Ness and U. Spagnolini, 'Pilot-Based Channel Estimation for OFDM Systems by Tracking the Delay-Subspace,' IEEE Trans. Wireless Commun., vol. 3, no. 1, pp. 315-325, Jan. 2004   DOI   ScienceOn
3 A. Furuskar, S. Mazur, F. Muller, and H. Olofsson, 'EDGE: Enhanced data rates for GSM and TDMA/136 evolution,' IEEE Pers. Commun. Mag., pp. 56-66, June 1999
4 S. Alamouti, 'A simple transmit diversity technique for wireless communications,' IEEE J. Select. Areas Commun., vol. 16, pp. 1451-1458, Oct. 1998   DOI   ScienceOn
5 D. Falconer, S. L. Ariyavisitakul, A. Benyamin-Seeyar, and B. Eidson, 'Frequency domain equalization for single-carrier broadband wireless systems,' IEEE Commun. Mag., vol. 40, no. 4, pp. 58-66, Apr. 2002
6 T. Wang and C. L. Wang, 'On the Optimum Design of the Block Adaptive FIR Digital Filter', IEEE Trans. Signal Process., vol. 41, no. 6, pp. 2131-2140, June 1993   DOI   ScienceOn
7 S. Haykin, Adaptive Filter Theory, 4th ed., Prentice-Hall Inc., New Jersey, 2002
8 N. R. Yousef and A. H. Sayed, 'A Unified Approach to the Steady-State and Tracking Analyses of Adaptive Filters,' IEEE Trans. Signal Process., vol. 49, no. 2, pp. 314-324, Feb. 2001   DOI   ScienceOn
9 E. ELEFTHERIOU and D.D. FALCONER, 'Tracking Properties and Steady-State Performance of RLS Adaptive Filter Algorithms,' IEEE Trans. Acoust. Speech, Signal Process., vol. ASSP-34, no. 5, pp. 1097-1110, Oct. 1986
10 W. M. Younis and A. H. Sayed, 'Adaptive channel estimation for MIMO space-time coded communications,' Sensor Array and Multichannel Signal Process. Workshop Proc., pp. 412 - 416, July 2004
11 W. B. Mikhael and F. H. Wu, 'A fast block FIR adaptive digital filtering algorithm with individual adaptation of parameters,' IEEE Trans. Circuits Syst., vol. 36, pp. 1-10, Jan. 1989   DOI   ScienceOn