• DocumentCode
    1364456
  • Title

    Invariancies in punctured convolutional codes-their effect on Viterbi synchronization

  • Author

    Mogre, Advait ; Dabiri, Dariush ; Luthi, Daniel

  • Author_Institution
    LSI Logic Corp., Milpitas, CA, USA
  • Volume
    48
  • Issue
    7
  • fYear
    2000
  • fDate
    7/1/2000 12:00:00 AM
  • Firstpage
    1066
  • Lastpage
    1069
  • Abstract
    This paper studies the invariance of a given punctured convolutional code to an affine class of symbol transformations known to commonly occur in digital transceiver systems. A set of conditions to test the invariance of a code to these transformations has been derived, followed by two proposed methods to compensate for an invariant transformation. The viability of these methods has been examined by doing an invariant factor decomposition on the equivalent code generator matrix (obtained from the original code generator matrix and the given transform). The knowledge of the transformation and the nature of its occurrence greatly determines which method of compensation could be used. This study has much use in not only enabling a code designer to evaluate the invariance of an affine transformation to a given code, but also on the other hand to make the appropriate choice of code generators, puncturing schemes, and bit-to-constellation symbol mapping; so as to allow a channel coding scheme to be either sensitive or invariant to a given transformation, depending upon design objectives
  • Keywords
    Viterbi decoding; channel coding; convolutional codes; digital radio; forward error correction; matrix algebra; synchronisation; transceivers; FEC; Viterbi decoder synchronization; affine transformation; bit-to-constellation symbol mapping; channel coding; compensation techniques; digital transceiver systems; equivalent code generator matrix; forward-error correction; invariant factor decomposition; invariant transformation; original code generator matrix; punctured convolutional codes invariance; puncturing schemes; receiver; recovery techniques; sufficient algebraic conditions; symbol transformations; Bandwidth; Channel coding; Convolutional codes; Decoding; Information rates; Matrix decomposition; Modems; Testing; Transceivers; Viterbi algorithm;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/26.855510
  • Filename
    855510