• DocumentCode
    2524037
  • Title

    Improved 2-Step QRM-ML Block Signal Detection for Single-Carrier Transmission

  • Author

    Temma, Katsuhiro ; Yamamoto, Tetsuya ; Adachi, Fumiyuki

  • Author_Institution
    Dept. of Electr. & Commun. Eng., Tohoku Univ., Sendai, Japan
  • fYear
    2011
  • fDate
    5-8 Sept. 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    A new 2-step maximum likelihood block signal detection employing QR decomposition and M-algorithm (QRM-MLBD) is proposed to further reduce the computational complexity while keeping a good bit error rate (BER) performance for the single-carrier (SC) transmission in a frequency-selective fading channel. Prior to QRM-MLBD, a computationally efficient minimum mean square error based frequency-domain equalization (MMSE-FDE) is performed to discard the symbol candidates in the tree based on the soft decision results of MMSE-FDE. We evaluate, by computer simulation, the BER performance achievable by the proposed improved 2-step QRM-MLBD and show that the proposed scheme can reduce the computational complexity compared to the previously proposed conventional 2-step QRM-MLBD while keeping the same BER performance.
  • Keywords
    channel estimation; communication complexity; error statistics; fading channels; frequency-domain analysis; least mean squares methods; maximum likelihood detection; signal detection; 2-step maximum likelihood block signal detection; BER performance; M-algorithm; MMSE-FDE; QR decomposition; QRM-MLBD; bit error rate; computational complexity reduction; computer simulation; frequency-selective fading channel; minimum square mean error based frequency-domain equalization; single-carrier transmission; two-step QRM-ML block signal detection; Bit error rate; Computational complexity; Computer simulation; Frequency domain analysis; Matrix decomposition; Noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference (VTC Fall), 2011 IEEE
  • Conference_Location
    San Francisco, CA
  • ISSN
    1090-3038
  • Print_ISBN
    978-1-4244-8328-0
  • Type

    conf

  • DOI
    10.1109/VETECF.2011.6093118
  • Filename
    6093118