• DocumentCode
    355828
  • Title

    Contradicting a myth: good turbo codes with large memory order

  • Author

    Massey, P.C. ; Takeshita, O.Y. ; Costello, D.J., Jr.

  • Author_Institution
    Notre Dame Univ., IN, USA
  • fYear
    2000
  • fDate
    25-30 June 2000
  • Firstpage
    122
  • Abstract
    The purpose of this paper is to contradict a common myth about turbo codes. We are specifically addressing R=1/3 parallel-concatenated codes using systematic, recursive constituent codes. Myth: Turbo codes consisting of constituent codes with large memory order (i.e., a large number of trellis states) are not as effective as the original Berrou-Glavieux-Thitimajshima turbo code (1993) in the waterfall region of small signal-to-noise ratios (SNRs). This myth is contradicted by a turbo code whose recursive constituent codes have 256 states. Decoding this turbo code with the BCJR APP decoder gives bit-error-rate (BER) and frame-error-rate (FER) performance better than the original (Berrou) turbocode at all SNRs.
  • Keywords
    concatenated codes; error statistics; iterative decoding; turbo codes; BCJR APP decoder; BER performance; FER performance; SNR; bit-error-rate; frame-error-rate; good turbo codes; large memory order; parallel-concatenated codes; signal-to-noise ratio; systematic recursive constituent codes; trellis states; Bit error rate; Convergence; Finishing; Iterative algorithms; Iterative decoding; Maximum likelihood decoding; Maximum likelihood estimation; Recursive estimation; Signal to noise ratio; Turbo codes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2000. Proceedings. IEEE International Symposium on
  • Conference_Location
    Sorrento, Italy
  • Print_ISBN
    0-7803-5857-0
  • Type

    conf

  • DOI
    10.1109/ISIT.2000.866414
  • Filename
    866414