• DocumentCode
    3122293
  • Title

    Performance estimation of bit-interleaved coded modulation based on information processing characteristics

  • Author

    Schenk, Andreas ; Fischer, Robert F H ; Huber, Johannes B.

  • Author_Institution
    Lehrstuhl fur Informationsubertragung, Friedrich-Alexander-Univ. Erlangen-Nurnberg, Erlangen, Germany
  • fYear
    2012
  • fDate
    1-6 July 2012
  • Firstpage
    2406
  • Lastpage
    2410
  • Abstract
    Information processing characteristics (IPC) provide a general framework for the analysis of a coding scheme. In this paper, we utilize IPCs to obtain performance estimates for the end-to-end coded channel for bit-interleaved coded modulation (BICM) using a given modulation format and coding scheme, i.e., its bit error rate and capacity. The proposed method enables to fully decouple the analysis of the coding scheme from the analysis of the higher-order modulation scheme and delivers very good performance estimates. Exemplarily, this is validated by means of numerical simulations for BICM using convolutional- and LDPC-coded amplitude-shift keying.
  • Keywords
    amplitude shift keying; channel coding; channel estimation; convolutional codes; error statistics; interleaved codes; modulation coding; numerical analysis; parity check codes; BICM; IPC; LDPC-coded amplitude-shift keying; bit error rate; bit-interleaved coded modulation; coding scheme analysis; convolutional codes; end-to-end coded channel estimation; higher-order modulation scheme; information processing characteristics; numerical simulations; Bit error rate; Channel estimation; Convolutional codes; Decoding; Encoding; Modulation;
  • 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.2012.6283946
  • Filename
    6283946