• DocumentCode
    1534248
  • Title

    The Linear Complexity of Some Binary Sequences With Three-Level Autocorrelation

  • Author

    Wang, Qi

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Hong Kong Univ. of Sci. & Technol., Kowloon, China
  • Volume
    56
  • Issue
    8
  • fYear
    2010
  • Firstpage
    4046
  • Lastpage
    4052
  • Abstract
    Binary sequences with good autocorrelation are needed in many applications. A construction of binary sequences with three-level autocorrelation was recently presented. This construction is generic and powerful in the sense that many classes of binary sequences with three-level autocorrelation could be obtained from any difference set with Singer parameters. The objective of this paper is to determine both the linear complexity and the minimal polynomial of two classes of binary sequences, i.e., the class based on the Singer difference set, and the class based on the GMW difference set.
  • Keywords
    binary sequences; computational complexity; set theory; GMW difference set; Singer difference set; Singer parameter; binary sequence; linear complexity; minimal polynomial; three-level autocorrelation; Autocorrelation; Binary sequences; Bridges; Computer science; Galois fields; Global Positioning System; Multiaccess communication; Polynomials; Spread spectrum communication; Almost difference set; GMW difference set; Singer difference set; autocorrelation; difference set; linear complexity;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2010.2050831
  • Filename
    5508635