Advertisement

Simplified Signal Detection for BLAST Architecture with ML and DFE Detectors

  • Myung-Sun Baek
  • Byung-Su Kang
  • So-Young Yeo
  • Young-Hwan You
  • Hyoung-Kyu Song
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3992)

Abstract

In this paper, a simplified signal detection technique is proposed for V-BLAST systems. In this proposed scheme, since the performance of V-BLAST system depends on the first sub-stream detection capability, V probable streams are detected according to the first detected sub-stream of DFE detector and most probable stream is selected by likelihood test. And to reduce the computational complexity of DFE detector, a simple DFE detection scheme is also proposed. It has been shown that the proposed technique can detect the transmitted data more accurately than conventional DFE decoding scheme, and has very lower complexity than ML detector.

Keywords

Channel State Information Multiple Input Multiple Output Channel Matrix Cholesky Factorization Multiple Input Multiple Output 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Foschini, G.J.: Layered space-time architecture for wireless communications in a fading environment when using multi-element antennas. Bell Labs Technical Journal 1(2), 41–59 (1996)CrossRefGoogle Scholar
  2. 2.
    Wolniansky, P.W., Foschini, G.J., Golden, G.D., Valenzuela, R.A.: V-BLAST: An architecture for achieving very high data rate over rich-scattering wireless channels. In: Proc. of ISSSE 1998, Italy, September 1998, pp. 295–300 (1998)Google Scholar
  3. 3.
    Tao, W.Y., Cheng, R.S., Letaief, K.B.: Adaptive space-time coding system in fading channels. In: Proc. of VTC 2001 Spring, May 2001, vol. 1, pp. 103–107 (2001)Google Scholar
  4. 4.
    Bhargave, A., Figueiredo, R., Eltoft, T.: A detection algorithm for the V-BLAST system. In: Proc. of GLOBECOM 2001, November 2001, vol. 1, pp. 494–498 (2001)Google Scholar
  5. 5.
    Bohnke, R., Wudden, D., Kammeyer, K.: Reduced complexity MMSE detection for BLKAST architectures. In: Proc. of GLOBECOM 2003, September 2003, pp. 2258–2262 (2003)Google Scholar
  6. 6.
    Vielmon, A., Li, Y.G., Barry, J.R.: Performance of Alamouti transmit diversity over time-varying rayleigh-fading channels. IEEE Trans. Wireless Comm. 3, 1369–1373 (2004)CrossRefGoogle Scholar
  7. 7.
    Zhao, J., Xu, X., Wu, C., Ng, K.: A novel joint ML and DFE scheme for V-BLAST system. In: Proc. WCNM 2005, September 2005, vol. 1, pp. 472–475 (2005)Google Scholar
  8. 8.
    Sung, H., Letaief, K.B., Kang, J.W.: A simplified maximum likelihood detection scheme for MIMO systems. In: VTC 2003, Octorber 2003, vol. 1, pp. 419–423 (2003)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Myung-Sun Baek
    • 1
  • Byung-Su Kang
    • 1
  • So-Young Yeo
    • 1
  • Young-Hwan You
    • 1
  • Hyoung-Kyu Song
    • 1
  1. 1.uT Communication Research InstituteSejong UniversitySeoulKorea

Personalised recommendations