PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Iterative Joint Data Detection and Channel Estimation for DS-CDMA Systems in the Presence of Time-Varying Channels

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In this paper, we present an efficient iterative receiver structure of computationally tractable complexity for joint multiuser detection and multichannel estimation (JDE) of directsequence code-division multiple-access (DS-CDMA) systems operating in the presence of time-varying flat fading channel. The time-varying channel is assumed to be modeled according to a piece-wise constant channel model at the receiver. The scheme results from an application of the expectation-maximization (EM) algorithm. The resulting EM-JDE receiver updates the data bit sequences in parallel while the channel parameters are also updated in parallel. The EM algorithm provides a set of free parameters, called weight coefficients, which can be selected to optimize its performance. An optimality criterion is defined and analytical expressions for the corresponding optimized weight coefficients are given. Monte-Carlo simulations of a synchronous scenario show that the proposed JDE receiver have excellent multiuser efficiency and are robust against errors in the estimation of the channel parameters. Moreover, very short training sequences are required for the JDE schemes to converge.
Słowa kluczowe
Rocznik
Strony
59--66
Opis fizyczny
Bibliogr. 18 poz., fig.
Twórcy
  • Department of Electronics Enginering, Kadir Has University, Cibali 34083, Istanbul, Turkey
autor
  • Department of Electrical and Electronics Engineering, Istanbul University, Avcilar 34850, Istanbul, Turkey
  • Department of Electrical and Electronics Engineering, Istanbul University, Avcilar 34850, Istanbul, Turkey
Bibliografia
  • [1] S. Verdu and S. Shamai, “ Spectral efficiency of CDMA with random spreading, IEEE Trans. Inform. Theory, vol. 45, pp. 622-640, Mar. 1999.
  • [2] S. Verdu, “ Minimum probability of error for asynchronous Gaussian multiple-access channels,” IEEE Trans. Inform. Theory, vol. 32, pp.8596, Jan. 1986.
  • [3] A. Klein, G. K. Kaleh, and P. W. Baier, “Zero forcing and minimum mean-square error equalization of multiuser detection in codedivision multiple-access channels,” IEEE Trans. Veh. Technol., vol. 45, pp. 276287, May 1996.
  • [4] S. Verdu, Multiuser Detection. Cambridge, U.K.: Cambridge Univ. Press, 1998.
  • [5] A. Duel-Hallen, J.Holtzman, and Z. Zvonar, “Multiuser detection for CDMA systems,” IEEE Pers. Commun. Mag., vol. 2, pp. 4657, Apr.1995.
  • [6] A.Dempster, N. Laird, and D. Rubin, Maximum likelihood from incomplete data via the EM algorithm,” J. Roy. Statist. Soc., Ser. B, vol. 39, pp. 138, Jan. 1977.
  • [7] T. K. Moon, “The expectation-maximization algorithm,” IEEE Signal Processing Mag., vol. 13, pp. 4759, Nov. 1996.
  • [8] C. N. Georghiades and J. C. Han, “Sequence estimation in the presence of random parameters via the EM algorithm,” IEEE Trans. Commun., vol. 45, pp. 300308, Mar. 1997.
  • [9] M. Feder and E.Weinstein, “Parameter estimation of superimposed signals using the EM algorithm,” IEEE Trans. Acoust., Speech, Signal Processing, vol. 36, pp. 477489, Apr. 1988.
  • [10] M. J. Borran and M. Nasiri-Kenari, “An efficient detection technique for synchronous CDMA communication systems based on the expectation maximization algorithm,” IEEE Trans. Veh. Technol., vol. 49, pp. 16631668, Sept. 2000.
  • [11] H. Zamiri-Jafarian and S. Pasupathy, “Adaptive MLSDE using the EM algorithm,” IEEE Trans. Commun., vol. 47, pp. 11811193, Aug. 1999.
  • [12] A. Kocian and B. H. Fleury, “EM-based joint data detection and channel estimation of DS-CDMA signals,”IEEE Trans. Commun., vol. 51, no. 10, pp. 17091720, Oct. 2003.
  • [13] E. Panayirci, H. Dogan, H. A. Cirpan and B. H. Fleury,“Joint Data Detection and Channel Estimation for Uplink MC-CDMA Systems over Frequency Selective Channels”, 6th International Workshop on Multi-Carrier Spread Spectrum (MC-SS 2007), May 07-09 2007, Herrsching, Germany.
  • [14] E. Panayirci, H. Dogan, H. A. Cirpan and B. H. Fleury, “An Efficient Joint Data Detection and Channel Estimation Technique for Uplink MCCDMA Systems Based on SAGE Algorithm”, 16th IST Mobile and Wireless Communications Summit, Budapest, Hungary, July 1-5 2007.
  • [15] L. Mazet, V. Buzenac, M. De Courville, and P. Duhamel, “EM-based semi-blind estimation of time-varying channels,” in Proc. 4th IEEE Int. workshop on Signal Processing Advances for Wireless Commun/, Rome, Italy, 15-18 June 2003, vol. 2, pp. 205209.
  • [16] Wang, H.S. and Chang, P.C., “On verifying the first-order Markovian assumption for a Rayleigh fading channel model,” in IEEE Transactions on Vehicular Technology, 45,2, 353–357, 1996.
  • [17] S. Verdú, Multiuser Detection, Cambridge, U.K.: Cambridge Univ. Press, 1998.
  • [18] W. Jakes and D. Cox, Microwave Mobile Communications. Wiley-IEEE Press, New York, 1994.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-c170a731-dba4-452b-9753-00eee4636225
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.