• DocumentCode
    460509
  • Title

    Simplification and Combination of Soft-in/Soft-out Iterative MMSE and MF V-BLAST Soft Interference Cancellation Detector

  • Author

    Wang, Jun ; Xiao, Yue ; Li, Shaoqian

  • Author_Institution
    Nat. Key Lab. of Commun., Univ. of Electron. Sci. & Technol. of China, Chengdu
  • Volume
    2
  • fYear
    2006
  • fDate
    25-28 June 2006
  • Firstpage
    1016
  • Lastpage
    1020
  • Abstract
    Iterative soft-in/soft-out (SISO) minimum mean squared error (MMSE) soft interference cancellation (SIC) detector has been successfully applied to V-BLAST turbo receiver. To reduce the computation complexity, an iterative SISO SIC detector combined MMSE with match filter (MF) has been proposed. In this paper, we simplify the SISO MF SIC detector and propose two turbo receiver schemes, in which MMSE, MF and the simplified MF are combined to further reduce the computation complexity. Compared with the detection scheme with combination of MMSE and MF, computer simulation results confirm that the performance degradation of the proposed detector schemes is very trivial, but the computation complexity is reduced significantly
  • Keywords
    interference suppression; iterative methods; least mean squares methods; matched filters; receivers; signal detection; space-time codes; turbo codes; MF V-BLAST SIC detector; SISO iterative MMSE detector; match filter; minimum mean square error; soft interference cancellation; soft-in soft-out system; turbo receiver scheme; vertical Bell layered space-time architecture; AWGN; Computational complexity; Computer simulation; Degradation; Detectors; Interference cancellation; MIMO; Matched filters; Silicon carbide; Space technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, Circuits and Systems Proceedings, 2006 International Conference on
  • Conference_Location
    Guilin
  • Print_ISBN
    0-7803-9584-0
  • Electronic_ISBN
    0-7803-9585-9
  • Type

    conf

  • DOI
    10.1109/ICCCAS.2006.284821
  • Filename
    4064062