• DocumentCode
    3122080
  • Title

    Efficient decoding of Partial Unit Memory codes of arbitrary rate

  • Author

    Wachter-Zeh, Antonia ; Stinner, Markus ; Bossert, Martin

  • Author_Institution
    Inst. of Commun. Eng., Univ. of Ulm, Ulm, Germany
  • fYear
    2012
  • fDate
    1-6 July 2012
  • Firstpage
    2356
  • Lastpage
    2360
  • Abstract
    Partial Unit Memory (PUM) codes are a special class of convolutional codes, which are often constructed by means of block codes. Decoding of PUM codes can take advantage of existing block decoders. The Dettmar - Sorger algorithm is an efficient decoding algorithm for PUM codes, but allows only low code rates. The same restriction holds for several known PUM code constructions. In this paper, an arbitrary-rate construction, the analysis of its distance parameters and a generalized decoding algorithm for these PUM codes of arbitrary rate are provided. The correctness of the algorithm is proven and it is shown that its complexity is cubic in the code length.
  • Keywords
    block codes; convolutional codes; decoding; Dettmar-Sorger algorithm; PUM codes decoding; arbitrary-rate construction; block codes; block decoder; code length; convolutional codes; decoding algorithm; low code rates; partial unit memory codes; Algorithm design and analysis; Complexity theory; Convolutional codes; Generators; Maximum likelihood decoding; Measurement; Bounded Minimum Distance Decoding; Convolutional codes; Partial Unit Memory Codes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Proceedings (ISIT), 2012 IEEE International Symposium on
  • Conference_Location
    Cambridge, MA
  • ISSN
    2157-8095
  • Print_ISBN
    978-1-4673-2580-6
  • Electronic_ISBN
    2157-8095
  • Type

    conf

  • DOI
    10.1109/ISIT.2012.6283935
  • Filename
    6283935