• DocumentCode
    1245263
  • Title

    An asymptotic analysis of DS/SSMA communication systems with random polyphase signature sequences

  • Author

    Lok, Tat M. ; Lehnert, James S.

  • Author_Institution
    Sch. of Electr. Eng., Purdue Univ., West Lafayette, IN, USA
  • Volume
    42
  • Issue
    1
  • fYear
    1996
  • fDate
    1/1/1996 12:00:00 AM
  • Firstpage
    129
  • Lastpage
    136
  • Abstract
    Direct-sequence spread-spectrum multiple-access (DS/SSMA) communication systems with random m-phase sequences, for even m, are considered. By examining the asymptotic behavior of the normalized multiple-access interference (MAI), the authors find that a system with random m-phase sequences, for m>4, should have the same performance as one with random quadriphase sequences asymptotically. However, a system, with random m-phase sequences, for m⩾4, may perform better than one with random binary sequences when the number of simultaneous users is relatively small. A new Gaussian approximation is proposed to estimate the probabilities of error in these systems. In two cases, the new approximation reduces to established results which have been shown to provide close estimates to the probabilities of error
  • Keywords
    Gaussian processes; binary sequences; code division multiple access; error statistics; estimation theory; interference (signal); pseudonoise codes; random processes; spread spectrum communication; DS/SSMA communication systems; Gaussian approximation; asymptotic analysis; direct-sequence spread-spectrum multiple-access; error probabilities; normalized multiple-access interference; performance; random binary sequences; random m-phase sequences; random polyphase signature sequences; random quadriphase sequences; Binary sequences; Communication system control; Gaussian approximation; H infinity control; Military computing; Multiaccess communication; Multiple access interference; Random sequences; Random variables; Spread spectrum communication;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/18.481784
  • Filename
    481784