• DocumentCode
    2120267
  • Title

    Combined Serial Concatenated Convolutional Coding and Unitary Space-Time Modulation

  • Author

    Zhang, Dapeng ; Liu, Ju ; Ji, Hui ; Niu, Qiangjun

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Shandong Univ., Jinan
  • fYear
    2009
  • fDate
    27-28 Feb. 2009
  • Firstpage
    758
  • Lastpage
    761
  • Abstract
    When channel state information is not available, combined unitary space-time modulation and parallel concatenated convolutional code can greatly improve the system performance, however it also meet with the error floor phenomenon. We propose a scheme of utilizing unitary space-time symbol based serial concatenated convolutional code for multiple-antenna wireless communication systems over rapid fading channels which can avoid the error floor. We also give the MAP decoding algorithm for both the systematic symbol and the parity symbols. With iterative decoding and/or multi-antennas, it can further improve the system performance, which helps to give an acceptable bit error rate.
  • Keywords
    antenna arrays; channel coding; concatenated codes; convolutional codes; error statistics; fading channels; iterative decoding; maximum likelihood decoding; modulation coding; space-time codes; MAP decoding algorithm; bit error rate; channel state information; convolutional coding; error floor phenomenon; fading channel; iterative decoding; multiple-antenna wireless communication system; parity symbol; serial concatenated coding; unitary space-time modulation; Bit error rate; Channel state information; Concatenated codes; Convolutional codes; Fading; Iterative algorithms; Iterative decoding; Modulation coding; System performance; Wireless communication; MIMO; SCCC; USTM; error floor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Software and Networks, 2009. ICCSN '09. International Conference on
  • Conference_Location
    Macau
  • Print_ISBN
    978-0-7695-3522-7
  • Type

    conf

  • DOI
    10.1109/ICCSN.2009.84
  • Filename
    5076957