• DocumentCode
    1194635
  • Title

    Performance bounds for DS/SSMA communications with complex signature sequences

  • Author

    Lam, Alex W. ; Özlütürk, Faith M.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Massachusetts Univ., Amherst, MA, USA
  • Volume
    40
  • Issue
    10
  • fYear
    1992
  • fDate
    10/1/1992 12:00:00 AM
  • Firstpage
    1607
  • Lastpage
    1614
  • Abstract
    A unified performance analysis of direct-sequence spread-spectrum multiple-access (DS/SSMA) communications with deterministic complex signature sequences is presented. The probability density function (PDF) of the multiple-user interference is determined. Using a round-down and round-up procedure on the PDF, arbitrarily tight lower and upper bounds on the probability of bit error (PBE) are obtained. Results based on the Gaussian approximation method are also presented. It is shown that complex sequences can yield better PBE performance than binary sequences. Using complex sequences, the number of signature sequences that have good auto- and cross-correlation properties is greatly enlarged. New users employing complex or binary signature sequences can be added to existing systems with graceful performance degradation
  • Keywords
    correlation methods; error statistics; interference (signal); multi-access systems; spread spectrum communication; DS/SSMA communications; Gaussian approximation method; PDF; auto-correlation properties; bit error probability; complex signature sequences; cross-correlation properties; direct-sequence spread-spectrum multiple-access; lower bounds; multiple-user interference; performance analysis; probability density function; upper bounds; Binary sequences; Degradation; Gaussian approximation; Military computing; Performance analysis; Phase modulation; Probability density function; Spread spectrum communication; System performance; Upper bound;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/26.168791
  • Filename
    168791