• DocumentCode
    1486815
  • Title

    Extended Hamming and BCH soft decision decoders for mobile data applications

  • Author

    Tapp, Thomas L. ; Luna, Amjad A. ; Wang, Xiao-an ; Wicker, Stephen B.

  • Author_Institution
    Rockwell Int. Corp., Cedar Rapids, IA, USA
  • Volume
    47
  • Issue
    3
  • fYear
    1999
  • fDate
    3/1/1999 12:00:00 AM
  • Firstpage
    333
  • Lastpage
    337
  • Abstract
    A methodology is presented for the design and development of efficient trellis-based soft decision decoders for extended Hamming and BCH codes. A new metric for noncoherent discriminator detection is proposed that substantially improves the performance of trellis-based decoders over additive white Gaussian noise (AWGN) channels. Minimal edge trellises are then presented for the class of extended Hamming codes and the (32, 21) extended BCH code. The latter is in extensive use in narrow-band wireless data systems. An automatic request (ARQ) protocol is described that allows the soft decision decoders to outperform their hard decision counterparts in both reliability and throughput
  • Keywords
    AWGN channels; BCH codes; Hamming codes; Viterbi decoding; automatic repeat request; block codes; continuous phase modulation; data communication; discriminators; land mobile radio; protocols; signal detection; trellis codes; ARQ protocol; AWGN channels; BCH soft decision decoders; CPM; Viterbi algorithm; additive white Gaussian noise; automatic request protocol; block codes; extended BCH codes; extended Hamming codes; extended Hamming soft decision decoder; minimal edge trellises; mobile data applications; narrow-band wireless data systems; noncoherent discriminator detection; performance; reliability; throughput; trellis-based soft decision decoders; AWGN; Additive white noise; Automatic repeat request; Block codes; Data systems; Fading; Iterative decoding; Narrowband; Protocols; Throughput;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/26.752809
  • Filename
    752809