• DocumentCode
    1717912
  • Title

    Binary sequences with large family size and high linear complexity for spread spectrum communication systems

  • Author

    Zeng, Fanxin ; Zhang, Zhenyu

  • Author_Institution
    Dept. of Inf. Eng., Chongqing Commun. Inst., Chongqing, China
  • Volume
    1
  • fYear
    2010
  • Abstract
    Spreading sequences with low correlation, high linear complexity and large family size, in a direct-sequence spread spectrum communication system, help to minimize multiple access interference, increase security degree of system and enlarge user number, respectively. In this paper, a family of binary sequences with 5-valued low correlation, large family size and high linear complexity is presented. The proposed sequences have the same correlation distribution as the sequences in Ref. [6], and include the latter and No sequences as special cases. Although a closed-form mathematical expression regarding linear complexity of the proposed sequences can not be given, the simulation results by a computer show that the number of the proposed sequences, whose linear complexity is not less than the highest that of the sequences in Ref. [6], is quite larger than one of the sequences with the highest linear complexity in Ref. [6].
  • Keywords
    binary sequences; correlation methods; multi-access systems; spread spectrum communication; telecommunication security; binary sequences; closed-form mathematical expression; correlation distribution; direct-sequence spread spectrum communication system; linear complexity; multiple access interference; spread spectrum communication systems; system security degree; Binary sequences; Complexity theory; Construction industry; Correlation; Security; Signal processing; Spread spectrum communication; binary sequence; correlation; family size; linear complexity; spread spectrum communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Systems (ICSPS), 2010 2nd International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-6892-8
  • Electronic_ISBN
    978-1-4244-6893-5
  • Type

    conf

  • DOI
    10.1109/ICSPS.2010.5555621
  • Filename
    5555621