Journal of Electrical Engineering and Technology

The Korean Institute of Electrical Engineers (대한전기학회)
권호 표지
DOI QR코드

DOI QR Code

Approximate ML Detection with the Best Channel Matrix Selection for MIMO Systems

  • Jin, Ji-Yu (School of Electrical and Electronic Engineering, Seoul National University) ;
  • Kim, Seong-Cheol (School of Electrical and Electronic Engineering, Seoul National University) ;
  • Park, Yong-Wan (Dept. of Information and Communication Engineering, Yeungnam University)
  • Published : 2008.06.30
Download PDF
⟨ Previous Next ⟩

Abstract

In this paper, a best channel matrix selection scheme(BCMS) is proposed to approximate maximum likelihood(ML) detection for a multiple-input multiple-output system. For a one stage BCMS scheme, one of the transmitted symbols is selected to perform ML detection and the other symbols are detected by zero forcing(ZF). To increase the diversity of the symbols that are detected by ZF, multi-stage BCMS detection scheme is used to further improve the system performance. Simulation results show that the performance of the proposed BCMS scheme can approach that of ML detection with a significant reduction in complexity.

Keywords

References

  1. G. J. Foschini and M. J. Gans, "On limits of wireless communications in a fading environment when using multiple antennas," Wireless Personal Commun., vol. 6, no. 3, pp. 311-335, Mar. 1998 https://doi.org/10.1023/A:1008889222784
  2. J. H. Winters, J. Salz, and R. D. Gitlin, "The impact of antenna diversity on the capcity of wireless communication systems," IEEE Trans. Commun., vol. 42, pp. 1740-1751, Feb. /Mar. /Apr. 1994 https://doi.org/10.1109/TCOMM.1994.582882
  3. P. W. Wolniansky, G. J. Foschini, G. D. Golden, and R. A. Valenzuela, "VBLAST: An architecture for realizing very high data rate over the rich scattering wireless channel," Proc.ISSSE-98, 1998, pp. 295-300
  4. B. A. Bjecke and J. G. Proakis, "Multiple transmit and receive antenna diversity techniques for wireless communications," in Proc. IEEE Adaptive Systems Signal Processing, Communications, Control Symp., 2000, pp. 70-75
  5. S. Sun, T. T. Tjhung, and P. H. W. Fung, "Soft decision-based iterative interference cancellation (IIC) in group-wise STBC (G-STBC) MIMO systems," in Proc. IEEE Vehicular Technology Conference (VTC), 2003, pp. 22-25
  6. D. Wübben, R. Böhnke, J. Rinas, V. Kühn, and K. D. Kammeyer, ''MMSE extension of V-BLAST based on sorted QR decomposition,'' in Proc. IEEE Vehicular Technology Conference (VTC), 2003, pp. 508-512
  7. K. B. Letaief, E. Choi, J.-Y. Ahn, and R. Chen, ''Joint maximum likelihood detection and interference cancellation for MIMO/OFDM systems,'' in Proc. IEEE Vehicular Technology Conference (VTC), 2003, pp. 612-616
  8. Y. Li and Z. Luo, "Parallel Detection for V-BLAST System," IEEE Int. Conf. Comm., vol. 1, 2002, pp. 340-344
  9. E. Viterbo and J. Boutros, ''A universal lattice code decoder for fading channels,'' IEEE Trans. Inform. Theory, vol. 45, no. 5, pp. 1639-1642, Jul. 1999 https://doi.org/10.1109/18.771234
  10. H. Zhang, H. Zhang, H. Luo and W. Song, "On low complexity ML detection algorithm in MIMO system," Vehicular Technology Conference IEEE 61st, vol. 1, 2005, pp. 486-489
  11. J. W. Kang and K. B. Lee "Simplified ML detection scheme for MIMO systems," Vehicular Technology Conference IEEE 59th, vol. 2, 2004, pp.824-827