• DocumentCode
    1351528
  • Title

    Combined ML and DFE Decoding for Coded Double STBC-OFDM System

  • Author

    Yoon, Chanho ; Lee, Hoojin ; Kang, Joonhyuk

  • Author_Institution
    Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol. (KAIST), Daejeon, South Korea
  • Volume
    14
  • Issue
    12
  • fYear
    2010
  • fDate
    12/1/2010 12:00:00 AM
  • Firstpage
    1164
  • Lastpage
    1166
  • Abstract
    An efficient combined maximum likelihood (ML) and decision feedback equalization (DFE) decoding method is proposed for a coded double space-time block code orthogonal frequency division multiplexing (DSTBC-OFDM) system. For the missing bit log likelihood ratios (LLRs) in the DFE part, our proposed detector effectively exploits Gaussian approximated LLRs with reference to the colored noise covariance matrix. Simulation results demonstrate that the proposed method can achieve comparable performance to the coded full ML detectors with deterministic and lower complexity.
  • Keywords
    Gaussian processes; OFDM modulation; block codes; covariance matrices; decision feedback equalisers; maximum likelihood decoding; maximum likelihood detection; modulation coding; space-time codes; DSTBC-OFDM system; Gaussian approximated LLR; ML detectors; coded-double STBC-OFDM system; colored noise covariance matrix; combined ML-DFE decoding; decision feedback equalization decoding method; log likelihood ratios; maximum likelihood decoding method; space-time block code orthogonal frequency division multiplexing system; Decision feedback equalizers; Detectors; Interference; Maximum likelihood decoding; Noise; OFDM; LLR demapping; STBC-OFDM; double STBC; spatial multiplexing/diversity;
  • fLanguage
    English
  • Journal_Title
    Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7798
  • Type

    jour

  • DOI
    10.1109/LCOMM.2010.100810.101349
  • Filename
    5601968