• DocumentCode
    45271
  • Title

    New M -Ary Sequence Families With Low Correlation From the Array Structure of Sidelnikov Sequences

  • Author

    Young-Tae Kim ; Dae San Kim ; Hong-Yeop Song

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Yonsei Univ., Seoul, South Korea
  • Volume
    61
  • Issue
    1
  • fYear
    2015
  • fDate
    Jan. 2015
  • Firstpage
    655
  • Lastpage
    670
  • Abstract
    In this paper, we extend the construction by Vu and Gong for families of M-ary sequences of period q - 1 from the array structure of an M-ary Sidelnikov sequence of period q2 - 1, where q is a prime power and M|q - 1. The construction now applies to the cases of using any period qd -1 for 3 ≤ d <; (1/2)(√q - (2/√q) + 1) and q > 27. The proposed construction results in a family of M-ary sequences of period q-1 with: 1) the correlation magnitudes, which are upper bounded by (2d -1)√q +1 and 2) the asymptotic size of (M -1)qd-1/d as q increases. We also characterize some subsets of the above of size ~(r - 1)qd-1/d but with a tighter upper bound (2d - 2)√q + 2 on its correlation magnitude. We discuss reducing both time and memory complexities for the practical implementation of such constructions in some special cases. We further give some approximate size of the newly constructed families in general and an exact count when d is a prime power or a product of two distinct primes. The main results of this paper now give more freedom of tradeoff in the design of M-ary sequence family between the family size and the correlation magnitude of the family.
  • Keywords
    computational complexity; sequences; M-ary Sidelnikov sequence; M-ary sequence family; array structure; correlation magnitude; memory complexity; prime power; time complexity; Arrays; Computer aided software engineering; Correlation; Educational institutions; Global Positioning System; Periodic structures; Upper bound; Cyclotomic Cosets; Cyclotomic cosets; Family of sequences with good crosscorrelation; Non-binary sequences; Polyphase sequences; Sequences for GNSS; Sidelnikov sequences; family of sequences with good crosscorrelation; non-binary sequences; polyphase sequences; sequences for GNSS;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2014.2371461
  • Filename
    6960077