• DocumentCode
    60045
  • Title

    Soft-Output MIMO Detectors with Channel Estimation Error

  • Author

    Jalloul, Louay M. A. ; Alex, Sam P. ; Mansour, Mohamed M.

  • Author_Institution
    Broadcom Corp., Sunnyvale, CA, USA
  • Volume
    22
  • Issue
    7
  • fYear
    2015
  • fDate
    Jul-15
  • Firstpage
    993
  • Lastpage
    997
  • Abstract
    New expressions for the soft decision bit log-likelihood ratio (LLR) of a MIMO system using quadrature amplitude modulation (QAM) taking into account channel estimation error (CEE). The bit LLR for the maximum likelihood (ML) and the linear minimum mean-squared error (MMSE) receivers are derived, showing in both receivers explicit scaling of the LLR that is a function of the QAM symbol and the CEE variance. These new expressions for the LLRs are used to show that only modest improvements in the link performance are achieved relative to the LLRs that do not take into account the CEE. This indicates that separating the detector design from channel estimation does not significantly impact the system performance, which leads to simplifications in the overall receiver implementation.
  • Keywords
    MIMO communication; channel estimation; least mean squares methods; maximum likelihood detection; quadrature amplitude modulation; receivers; MMSE receivers; QAM; channel estimation error; linear minimum mean squared error; maximum likelihood; quadrature amplitude modulation; soft decision bit log likelihood ratio; soft output MIMO detectors; Channel estimation; Detectors; MIMO; Measurement; Quadrature amplitude modulation; Receivers; Vectors; Channel estimation error; MIMO; MMSE; QAM; log-likelihood ratio; maximum likelihood;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2014.2374425
  • Filename
    6967799