• DocumentCode
    3438064
  • Title

    A fast detection algorithm for concatenated overlapped code division multiplexing system

  • Author

    Wang, Xuesong ; Zhang, Peijian ; Yang, Xing ; Li, Daoben

  • Author_Institution
    Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2010
  • fDate
    24-26 Sept. 2010
  • Firstpage
    348
  • Lastpage
    353
  • Abstract
    A fast decoding algorithm based on parallel detection is proposed for the serial concatenated overlapped code division multiplexing (SC-OVCDM) signals. It shows that maximum likelihood (ML) detection of SC-OVCDM inner decoder can be transformed into two parallel sub-decoders which have low computational complexity. In order to tighten the performance gap between the fast decoding algorithm and the optimum detection one, extrinsic information transfer between two sub-decoders is necessary. Simulations show that the optimum performance can be approached by the proposed algorithm. The loss in signal-to-noise ratio (SNR) compared with the ML inner code detector is within 1.2dB. Moreover, the proposed algorithm´s computational complexity cost is only one percent to the optimum algorithm which is exponential of inner OVCDM constraint length.
  • Keywords
    channel coding; code division multiplexing; computational complexity; concatenated codes; decoding; maximum likelihood detection; ML inner code detector; computational complexity; information transfer; maximum likelihood detection; parallel detection; serial concatenated overlapped code division multiplexing system; signal-to-noise ratio; Channel coding; Computational complexity; Decoding; Iterative decoding; Modulation; Simulation; Coded Modulation (CM); Iterative Decoding; OVCDM; Soft In Soft Out (SISO);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network Infrastructure and Digital Content, 2010 2nd IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-6851-5
  • Type

    conf

  • DOI
    10.1109/ICNIDC.2010.5657976
  • Filename
    5657976