• DocumentCode
    1412665
  • Title

    Permutation fixed points with application to estimation of minimum distance of turbo codes

  • Author

    Daneshgaran, Fred ; Mondin, Marina

  • Author_Institution
    Dept. of Electr. & Comput. Eng., California State Univ., Los Angeles, CA, USA
  • Volume
    46
  • Issue
    7
  • fYear
    2000
  • fDate
    11/1/2000 12:00:00 AM
  • Firstpage
    2336
  • Lastpage
    2349
  • Abstract
    We present a systematic technique for obtaining all the input sequences that are mapped by a given permutation either to themselves or to shifted versions of themselves (generically called permutation fixed points). Such sequences or their subsets, represent the primary candidates for examination in connection with obtaining estimates of the minimum distance of parallel concatenated codes, specially for interleaver lengths for which the determination of the actual minimum distance may be very difficult. Subsequently, we present a new class of permutations that nearly achieve the lower bound on the number of possible fixed points associated with a given permutation of prime length p. Preliminary experimental evidence suggests that certain permutations of this class lead to turbo codes with large minimum distances fur short interleaver lengths
  • Keywords
    concatenated codes; convolutional codes; interleaved codes; parameter estimation; sequences; turbo codes; Galois theory; experiment; graph theory; group theory; input sequences; interleaver lengths; lower bound; minimum distance estimation; parallel concatenated convolutional codes; permutation fixed points; prime length; subsets; turbo codes; Carbon capture and storage; Computer errors; Concatenated codes; Convolutional codes; Interleaved codes; Iterative decoding; Performance gain; Turbo codes;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/18.887848
  • Filename
    887848