• DocumentCode
    3157481
  • Title

    A Novel Multi-Carrier System Based on Maximum-Likelihood Sequence Detection in Frequency Domain

  • Author

    Wang, Jing ; Li, Daoben

  • Author_Institution
    Beijing Univ. of Posts & Telecommun., Beijing
  • fYear
    2007
  • fDate
    22-24 Aug. 2007
  • Firstpage
    524
  • Lastpage
    528
  • Abstract
    Spectrum and power efficiency of an OFDM system may be severely degraded by its cyclic prefix. In the paper, a novel multicarrier system named MLSD-MCM is proposed in order to improve the efficiency. The novel system does not depend on the orthogonality among subcarriers, but on the convolutional constraint relationship among them. The detection algorithm is the frequency-domain maximum-likelihood sequence detection (MLSD) based on the Ungerboeck metric. The convolutional constraint length is approximately 2 and thus the complexity is rather limited, which is attributed to the application of the square-root-Hanning window. Both theoretical analysis and simulation results prove that the MLSD-MCM technology is effective and feasible in AWGN and ITU-VA channels.
  • Keywords
    OFDM modulation; maximum likelihood detection; maximum likelihood sequence estimation; AWGN channels; ITU-VA channels; MLSD-MCM multicarrier system; OFDM system; Ungerboeck metric; convolutional constraint relationship; cyclic prefix; frequency-domain MLSD; maximum-likelihood sequence detection; power efficiency; spectrum efficiency; square-root-Hanning window; Baseband; Degradation; Delay; Detection algorithms; Frequency domain analysis; Frequency synchronization; Interference; Maximum likelihood detection; OFDM; Power engineering and energy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Networking in China, 2007. CHINACOM '07. Second International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-1009-5
  • Electronic_ISBN
    978-1-4244-1009-5
  • Type

    conf

  • DOI
    10.1109/CHINACOM.2007.4469444
  • Filename
    4469444