• DocumentCode
    2487207
  • Title

    Convolutional coding for a phase modulated FCMA system

  • Author

    Boreli, Roksana ; Yates, K.W.

  • Author_Institution
    Telstra Corp., Sydney, NSW, Australia
  • fYear
    1994
  • fDate
    4-6 Jul 1994
  • Firstpage
    273
  • Abstract
    The paper investigates the benefits of non-binary convolutional coding applied to a phase modulated frequency comb multiple access (PFCMA) system. PFCMA is a novel multiple access technique proposed for very small aperture terminal (VSAT) satellite communications networks which encompasses multi-tone transmission with spread spectrum techniques. Previous work (Boreli and Yates, 1993) analysed the PFCMA error performance and indicated a need for error correction coding in order to improve the power efficiency. Non-binary convolutional codes with matching symbol size were chosen to fully exploit the benefits of soft decision decoding. The present authors present a study of coded system performance and illustrate it with a number of examples
  • Keywords
    VSAT networks; Viterbi decoding; convolutional codes; error correction codes; multi-access systems; spread spectrum communication; PFCMA; VSAT; coded system performance; error correction coding; multiple access technique; multitone transmission; nonbinary convolutional coding; phase modulated FCMA system; phase modulated frequency comb multiple access; soft decision decoding; spread spectrum technique; symbol size; very small aperture terminal satellite communications network; Apertures; Convolutional codes; Error analysis; Error correction; Error correction codes; Frequency; Performance analysis; Phase modulation; Satellite communication; Spread spectrum communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Spread Spectrum Techniques and Applications, 1994. IEEE ISSSTA '94., IEEE Third International Symposium on
  • Conference_Location
    Oulu
  • Print_ISBN
    0-7803-1750-5
  • Type

    conf

  • DOI
    10.1109/ISSSTA.1994.379579
  • Filename
    379579