• DocumentCode
    396128
  • Title

    Optimization of 3-phase spreading sequences of Markov chains

  • Author

    Fujisaki, Hiroshi

  • Author_Institution
    Graduate Sch. of Natural Sci. & Technol., Kanazawa Univ., Japan
  • Volume
    3
  • fYear
    2003
  • fDate
    25-28 May 2003
  • Abstract
    There has recently been intense interest in not only binary but also L-phase spreading sequences of Markov chains, where L=3,4, .... We need variances of correlation values of such sequences to evaluate bit error probabilities in asynchronous SSMA (spread spectrum multiple access) communication systems. Note that correlation values of L-phase sequences generally take complex values. In previous paper, we have considered 3-phase spreading sequences generated by general 3-state simple Markov chains, and have evaluated the variances of the absolute values of their correlation values in the complex plane. In this paper, we evaluate the variances of the real part of their correlation values, and give the optimum 3-phase spreading sequences of Markov chains in terms of bit error probabilities in asynchronous SSMA communication systems.
  • Keywords
    Markov processes; binary sequences; correlation theory; error statistics; multi-access systems; optimisation; probability; spread spectrum communication; 3-phase spreading sequences; Markov chains; asynchronous SSMA communication systems; bit error probabilities; correlation values; optimum spreading sequences; spread spectrum multiple access communication systems; three phase spreading sequences; Autocorrelation; Chaotic communication; Error probability; Gold; Interference; Linear feedback shift registers; Logistics; Random number generation; Signal to noise ratio; Spread spectrum communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2003. ISCAS '03. Proceedings of the 2003 International Symposium on
  • Print_ISBN
    0-7803-7761-3
  • Type

    conf

  • DOI
    10.1109/ISCAS.2003.1204971
  • Filename
    1204971