• DocumentCode
    754589
  • Title

    Polyphase sequences with low autocorrelation

  • Author

    Borwein, Peter ; Guson, RonFer

  • Author_Institution
    Dept. of Math., Simon Fraser Univ., Burnaby, BC, Canada
  • Volume
    51
  • Issue
    4
  • fYear
    2005
  • fDate
    4/1/2005 12:00:00 AM
  • Firstpage
    1564
  • Lastpage
    1567
  • Abstract
    Low autocorrelation for sequences is usually described in terms of low base energy, i.e., the sum of the sidelobe energies, or the maximum modulus of its autocorrelations, a Barker sequence occurring when this value is ≤ 1. We describe first an algorithm applying stochastic methods and calculus to the problem of finding polyphase sequences that are good local minima for the base energy. Starting from these, a second algorithm uses calculus to locate sequences that are local minima for the maximum modulus on autocorrelations. In our tabulation of smallest base energies found at various lengths, statistical evidence suggests we have good candidates for global minima or ground states up to length 45. We extend the list of known polyphase Barker sequences to length 63.
  • Keywords
    binary sequences; correlation theory; ground states; optimisation; stochastic processes; autocorrelation; global minima; ground state; local minima; low base energy; maximum modulus; polyphase Barker sequence; sidelobe energy; statistical evidence; stochastic method; Autocorrelation; Binary sequences; Calculus; Mathematics; Stationary state; Stochastic processes; Barker sequences; base energy; correlation; inverse collector´s problem; polyphase sequences; stochastic optimization;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2004.842778
  • Filename
    1412048