• DocumentCode
    3492859
  • Title

    Hardware implementations of Gaussian elimination over GF(2) for channel decoding algorithms

  • Author

    Scholl, Stefan ; Stumm, Christopher ; Wehn, Norbert

  • Author_Institution
    Microelectron. Syst. Design Res. Group, Univ. of Kaiserslautern, Kaiserslautern, Germany
  • fYear
    2013
  • fDate
    9-12 Sept. 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper, we investigate hardware implementations for Gaussian elimination of binary matrices. Gaussian elimination over GF(2) is a key operation used in several new channel decoding algorithms, that can provide large improvement of frame error rate over currently used algorithms. We first apply state-of-the-art architectures for binary Gaussian elimination to decoding algorithms. Then, we present a new hardware architecture, that has considerably less resource utilization and a higher throughput than state-of-the-art solutions. The designs have been implemented and compared on a Virtex 7 FPGA.
  • Keywords
    Galois fields; Gaussian processes; channel coding; decoding; error statistics; matrix algebra; GF(2); Virtex 7 FPGA; binary Gaussian elimination; binary matrices; channel decoding algorithms; frame error rate; hardware architecture; hardware implementation; resource utilization; Algorithm design and analysis; Clocks; Computer architecture; Field programmable gate arrays; Hardware; Maximum likelihood decoding; Parity check codes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    AFRICON, 2013
  • Conference_Location
    Pointe-Aux-Piments
  • ISSN
    2153-0025
  • Print_ISBN
    978-1-4673-5940-5
  • Type

    conf

  • DOI
    10.1109/AFRCON.2013.6757620
  • Filename
    6757620