• DocumentCode
    1174497
  • Title

    A new family of binary pseudorandom sequences having optimal periodic correlation properties and larger linear span

  • Author

    No, Jong-Seon ; Kumar, Vijay P.

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA
  • Volume
    35
  • Issue
    2
  • fYear
    1989
  • fDate
    3/1/1989 12:00:00 AM
  • Firstpage
    371
  • Lastpage
    379
  • Abstract
    A collection of families of binary {0,1} pseudorandom sequences is introduced. Each sequence within a family has period N=2"-1, where n=2m is an even integer. There are 2m sequences within a family, and the maximum overall (nontrivial) auto- and cross-correlation values equals 2m+1. Thus, these sequences are optimal with respect to the Welch bound on the maximum correlation value. Each family contains a Gordon-Mills-Welch (GMW) sequence, and the collection of families includes as a special case the small set of Kasami sequences. The linear span of these sequences varies within a family but is always greater than or equal to the linear span of the GMW sequence contained within the family. Exact closed-form expressions for the linear span of each sequence are given. The balance properties of such families are evaluated, and a count of the number of distinct families of given period N that can be constructed is provided
  • Keywords
    binary sequences; correlation methods; information theory; spread spectrum communication; Gordon-Mills-Welch sequence; Kasami sequences; Welch bound; autocorrelation values; balance properties; binary pseudorandom sequences; closed-form expressions; cross-correlation values; larger linear span; maximum correlation value; optimal periodic correlation properties; spread spectrum communication; Binary sequences; Closed-form solution; Communication systems; Gold; Information theory; National security; Random sequences; Spread spectrum communication;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/18.32131
  • Filename
    32131