A Generalized Blind Adaptive Multi-User Detection Algorithm for Multipath Rayleigh Fading Channel Employed in a MIMO System

  • Fahmy Yasmine A. (Department, Faculty of Engineering, Cairo University) ;
  • Mourad Hebat-Allah M. (Depatrment of Electronics and Communications, Faculty of Engineering, Cairo University) ;
  • Al-Hussaini Emad K. (Depatrment of Electronics and Communications, Faculty of Engineering, Cairo University)
  • Published : 2006.09.01

Abstract

In this paper, a generalized blind adaptive algorithm is introduced for multi-user detection of direct sequence code division multiple access (OS-COMA) wireless communication systems. The main property of the proposed algorithm is its ability to resolve the multipath fading channel resulting in inter symbol interference (ISI) as well as multiple access interference (MAI). Other remarkable properties are its low complexity and mitigation to the near-far problem as well as its insensitivity to asynchronous transmission. The proposed system is based on the minimization of the output energy and convergence to the minimum mean square error (MMSE) detector. It is blind in the sense that it needs no knowledge of the other users' signatures, only the intended user signature and timing are required. Furthermore, the convergence of the minimum output energy (MOE) detector to the MMSE detector is analytically proven in case of M-ary PSK. Depicted results show that the performance of the generalized system dominates those previously considered. Further improvements are obtained when multiple input multiple output (MIMO) technique is employed.

Keywords

References

  1. S. Verdu, 'Minimum probability of error for asynchronous Gaussian multiple access channel,' IEEE Trans. Inform. Theory, vol. IT-32, pp. 85-96, Jan. 1986
  2. U. Madhow and M. Honig, 'MMSE interference suppression for direct sequence spread spectrum CDMA,' IEEE Trans. Commun., vol. COM-42, pp. 3178-3188, Dec. 1994
  3. R. Lupas and S. Verdu, 'Linear multiuser detectors for synchronous codedivision multiple-access channels,' IEEE Trans. Inform. Theory, vol. IT-35, pp. 123-136, Jan. 1989
  4. R. Lupas and S. Verdu, 'Near-far resistance of multiuser detectors in asynchronous channels,' IEEE Trans. Commun., vol. COM-38, Mar. 1990
  5. M. Honig, U. Madhow, and S. Verdu, 'Blind adaptive multiuser detection,' IEEE Trans. Inform. Theory, vol. IT-41 , pp. 944-960, July 1995
  6. A. Klein, G. Kaleh, and P. Baier, 'Zero forcing and minimum mean-square-error equalization for multiuser detection in code-division multiple-access channels,' IEEE Trans. Veh. Technol., vol. 45, pp. 276-287, May 1996 https://doi.org/10.1109/25.492851
  7. E. AI-Hussaini, H. Mourad, and A. Hannal, 'Joint detection and diversity techniques in CDMA mobile radio systems,' Wireless Pers. Cornman., vol. 18, pp. 129-147, 2001 https://doi.org/10.1023/A:1011246628175
  8. E. DelRe, R. Fantacci, S. Morosi, and A. Pugi, 'Advanced blind adaptive multi -user detector for communications in non-stationary multipath fading channel,' IEEE Trans. Veh. Technol., vol. 50, pp. 1497-1506, Nov. 2001 https://doi.org/10.1109/25.966580
  9. S. Hong, J. Choi, Y. Jung, S. R. Kim, and Y. Lee, 'Constrained MMSE receivers for CDMA systems in frequency-selective fading channels,' IEEE Trans. Wireless Commun., vol. 3, pp. 1393-1398, Sept. 2004 https://doi.org/10.1109/TWC.2004.833414
  10. S. R. Kim, Y. G. Jeong, and I. Choi, 'A constrained MMSE receiver for DS/CDMA systems in fading channels,' IEEE Trans. Commun., vol. 48, pp. 1793-1796, Nov. 2000 https://doi.org/10.1109/26.886469
  11. L. Mucchi, S. Morosi, E. DelRe, and R. Fantacci, 'A new algorithm for blind adaptive multiuser detection in frequency selective multipath fading channel,' IEEE Trans. Wireless Commun., vol. 3, pp. 235-247, Jan. 2004 https://doi.org/10.1109/TWC.2003.821205
  12. Z. Xu, P. Liu, and X. Wang, 'Blind multiuser detection: From MOE to subspace methods,' IEEE Trans. Signal Processing, vol. 52, pp. 510-524, Feb. 2004
  13. M. K. Tsatsanis and Z. Xu, 'Performance analysis of minimum variance CDMA receivers,' IEEE Trans. Signal Processing, vol. 46, pp. 3014-3022, Nov. 1998 https://doi.org/10.1109/78.726814
  14. A. Klein, Multiuser Detection of CDMA Signals-Algorithms and Their Application to Cellular Mobile Radio, Ph.D. thesis, VDI-Verlag, Dusseldorf, 1996