• DocumentCode
    1474750
  • Title

    New lower bounds on aperiodic crosscorrelation of binary codes

  • Author

    Levenshtein, Vladimir I.

  • Author_Institution
    Inst. of Appl. Math., Moscow, Russia
  • Volume
    45
  • Issue
    1
  • fYear
    1999
  • fDate
    1/1/1999 12:00:00 AM
  • Firstpage
    284
  • Lastpage
    288
  • Abstract
    For the minimum aperiodic crosscorrelation θ(n,M) of binary codes of size M and length n over the alphabet {1,-1} there exists the celebrated Welch bound θ2(n,M)⩾(M-1)n2/2Mn-N-1 which was published in 1974 and remained in this form up to now. In the article this bound is strengthened for all M⩾4 and n⩾2. In particular, it is proved that θ2(n,M)⩾n-2n/√3M, M⩾3 and θ2(n,M)⩾n-[πn/√8M], M⩾5. In the asymptotic process when M tends to infinity as n→∞, these bounds are twice as large as the Welch bound and coincide with the corresponding asymptotic bound on the square of the minimum periodic crosscorrelation of binary codes. The main idea of the proof is a new sufficient condition for the mean value of a nonnegative definite matrix over the code to be greater than or equal to the average over the whole space. This allows one to take into account weights of cyclic shifts of code vectors and solve the problem of their optimal choice
  • Keywords
    binary codes; correlation methods; matrix algebra; Welch bound; aperiodic crosscorrelation; asymptotic bound; binary codes; code length; code size; code vectors; cyclic shift weights; lower bounds; mean value; minimum aperiodic crosscorrelation; nonnegative definite matrix; square; sufficient condition; Associate members; Autocorrelation; Binary codes; Chebyshev approximation; Equations; Galois fields; H infinity control; Linear matrix inequalities; Polynomials; Sufficient conditions;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/18.746818
  • Filename
    746818