• DocumentCode
    2390510
  • Title

    Generalized EXIT chars for irregular LDPC codes

  • Author

    Mamani, Hossein ; Saeedi, Hamid

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Tarbiat Modares Univ., Tehran, Iran
  • fYear
    2011
  • fDate
    15-16 June 2011
  • Firstpage
    113
  • Lastpage
    117
  • Abstract
    It is well-known that irregular Low-Density Parity-Check (LDPC) code ensembles can have performance approaching the capacity of binary memoryless channels as opposed o regular LDPC codes. Recently, an asymptotic analysis tool named Generalized Extrinsic Information Transfer (GEXIT) chart has been proposed for regular LDPC codes that can be used as a substitution o density evolution (DE), the main asympotic analysis tool for LDPC codes. GEXIT charts can be seen as an extension of formerly introduced EXIT charts which have an extensive use in analysis and design of many iterative schemes including LDPC codes. EXIT charts provide exactly the same analysis results as DE for the Binary Erasure Channel. However, they can only be seen as an approximation o DE for other channel types. GEXIT charts have only been derived for regular LDPC codes. To be able o use GEXIT chars in code design and in particular, to devise capacity approaching ensembles, they have to be obtained for irregular codes. In this paper we derive GEXIT charts for irregular LDPC codes and show that a similar relationship which exists between EXIT charts of irregular and regular LDPC code also holds for the case of GEXIT charts.
  • Keywords
    binary codes; channel capacity; iterative methods; memoryless systems; parity check codes; asymptotic analysis tool; binary memoryless channel capacity; generalized EXIT charts; generalized extrinsic information transfer chart; irregular LDPC code; irregular low-density parity check code; iterative scheme; EXIT function; Genaral EXIT function; LDPC codes; area theoram; density evolution; entropy; irregular LDPC codes; mutual information;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence and Signal Processing (AISP), 2011 International Symposium on
  • Conference_Location
    Tehran
  • Print_ISBN
    978-1-4244-9833-8
  • Type

    conf

  • DOI
    10.1109/AISP.2011.5960973
  • Filename
    5960973