• DocumentCode
    2064315
  • Title

    Application analysis of QC-LDPC codes in shallow water acoustic channels

  • Author

    Yougan, Chen ; Xiaomei, Xu ; Lan, Zhang ; Wei, Feng

  • Author_Institution
    MOE Key Lab. of Underwater Acoust. Commun. & Marine Inf. Technol., Xiamen Univ., Xiamen, China
  • fYear
    2011
  • fDate
    14-16 Sept. 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The shallow water acoustic (SWA) channel is one of the most challenging channels in wireless digital communications. In this paper, we propose a good performance, low complexity channel coding scheme using quasi-cyclic LDPC (QC-LDPC) codes to improve the communication system reliability for SWA channels. A system simulation model including QC-LDPC codes for the SWA channels is built. With the decoding algorithm of belief propagation (BP), the effects of QC-LDPC codes design parameters, such as girth, circulant permutation matrix size and decoding iterations are discussed. To verify the proposed approach, Quangang Xiaocuo harbor blasting data are used to set up a SWA channel model, and the performances of QC-LDPC codes over the channel model are analyzed. The results show that, with the same parameters, the proposed QC-LDPC channel coding strategy for SWA channels substantially outperforms the conventional (3, 6)-LDPC channel coding strategy, and with less complexity and easy implementation.
  • Keywords
    belief networks; channel coding; cyclic codes; parity check codes; underwater acoustic communication; QC-LDPC codes; application analysis; belief propagation; circulant permutation matrix size; decoding iterations; girth; low complexity channel coding scheme; shallow water acoustic channels; system simulation model; wireless digital communications; Bit error rate; Channel coding; Channel models; Delay effects; Parity check codes; Signal to noise ratio; LDPC codes; quasi-cyclic; shallow water acoustic channel; underwater acoustic communications;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, Communications and Computing (ICSPCC), 2011 IEEE International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4577-0893-0
  • Type

    conf

  • DOI
    10.1109/ICSPCC.2011.6061600
  • Filename
    6061600