• DocumentCode
    2023374
  • Title

    Energy allocation strategies for turbo codes with short frames

  • Author

    Salah, M.M. ; Raines, R.A. ; Temple, M.A. ; Bailey, T.G.

  • Author_Institution
    Inst. of Technol., Wright-Patterson AFB, OH, USA
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    408
  • Lastpage
    411
  • Abstract
    Turbo codes have been shown to approach the Shannon limit for error correcting capability at low signal-to-noise ratios given large sized frames. Extensive research efforts have been examining ways to enhance the performance of turbo codes for short frames (e.g., voice transmission). One way of enhancing the performance is to optimize the energy allocated to each bit stream to achieve the best performance possible. In standard turbo codes, all bits are transmitted with equal energy. Changing the energy allocation strategy can enhance the performance of turbo codes with short frame lengths. Using computer simulation and analytic bounds, different strategies are discussed and applicability to short frame applications investigated
  • Keywords
    concatenated codes; convolutional codes; error correction codes; noise; turbo codes; voice communication; SNR; Shannon limit; analytic bounds; computer simulation; energy allocation; error correction; large sized frames; low signal-to-noise ratios; parallel concatenated convolutional codes; performance; short frame lengths; turbo codes; voice transmission; AWGN; Binary phase shift keying; Code standards; Computer errors; Convolutional codes; Error correction codes; Iterative decoding; Phase modulation; Signal to noise ratio; Turbo codes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology: Coding and Computing, 2000. Proceedings. International Conference on
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    0-7695-0540-6
  • Type

    conf

  • DOI
    10.1109/ITCC.2000.844262
  • Filename
    844262