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An adaptive iterative receiver for space-time coding MIMO systems

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Języki publikacji
EN
Abstrakty
EN
An adaptive iterative receiver for layered space-time coded (LSTC) systems is proposed. The proposed receiver, based on a joint adaptive iterative detection and decoding algorithm, adaptively suppresses and cancels co-channel interference. The LMS algorithm and maximum a posteriori (MAP) algorithm are utilized in the receiver structure. A partially filtered gradient LMS (PFGLMS) algorithm is also applied to improve the convergence speed and tracking ability of the adaptive detector with a slight increase in complexity. The proposed receiver is analysed in a slow and fast Rayleigh fading channels in multiple input multiple output (MIMO) systems.
Rocznik
Tom
Strony
54--59
Opis fizyczny
Bibliogr. 11 poz., il.
Twórcy
autor
autor
  • School of Electrical and Information Engineering, The University of Sydney, Sydney, NSW 2006, Australia, teekapak@ee.usyd.edu.au
Bibliografia
  • [1] E. Telatar, “Capacity of multiantenna Gaussian channels”, AT&T-Bell Labs., Internal. Tech. Memo., 1995.
  • [2] G. J. Foschini and M. J. Gans, “Layered space-time architecture for wireless communication in a fading environment when using multi-element antennas”, Bell Labs. Techn. J., vol. 1, pp. 41–59, 1996.
  • [3] H. El Gamal and A. R. Hammons, Jr., “A new approach to lay-ered space-time coding and signal processing”, IEEE Trans. Inform. Theory, vol. 47, pp. 2321–2334, 2001.
  • [4] S. Marinkovic, B. Vucetic, and A. Ushirokawa, “Space-time iterative and multistage receiver structures for CDMA mobile communication systems”, IEEE J. Select. Areas Commun., vol. 19, pp. 1594–1604, 2001.
  • [5] J. Li, K. B. Letaief, and Z. Cao, “Adaptive co-channel interference cancellation in space-time coded communication systems”, IEEE Trans. Commun., vol. 50, pp. 1580–1583, 2002.
  • [6] H. El Gamal and E. Geraniotis, “Iterative multiuser detection for coded CDMA signals in AWGN and fading channels”, IEEE J. Select. Areas Commun., vol. 18, pp. 30–41, 2000.
  • [7] G. H. Golub and C. F. Van Loan, Matrix Computations, 3rd ed. Baltimore: Johns Hopkins University Press, 1996.
  • [8] S. S. Haykin, Adaptive Filter Theory, 4th ed. Upper Saddle River: Prentice Hall, 2002.
  • [9] J. S. Lim, “Fast adaptive filtering algorithm based on exponen-tially weighted least-square errors”, Electron. Lett., vol. 35, no. 22, pp. 1913–1915, 1999.
  • [10] S. Marinkovic, “Interference mitigation in CDMA and space-time coded MIMO systems”, Ph.D. thesis, Telecommunications Labora-tory, Department of Electrical and Information Engineering, Univer-sity of Sydney, 2002.
  • [11] M. Stojanovic, J. G. Proakis, and J. A. Catipovic, “Analysis of the impact of channel estimation errors on the performance of a decision-feedback equalizer in fading multipath channels”, IEEE Trans. Commun., vol. 43, pp. 877–886, 1995.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BAT3-0035-0031
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