• DocumentCode
    1204796
  • Title

    The maximum squared correlation, sum capacity, and total asymptotic efficiency of minimum total-squared-correlation binary signature sets

  • Author

    Karystinos, George N. ; Pados, Dimitris A.

  • Author_Institution
    Dept. of Electr. Eng., State Univ. of New York, Amherst, NY, USA
  • Volume
    51
  • Issue
    1
  • fYear
    2005
  • Firstpage
    348
  • Lastpage
    355
  • Abstract
    The total squared correlation (TSC), maximum squared correlation (MSC), sum capacity (Csum), and total asymptotic efficiency (TAE) of underloaded signature sets, as well as the TSC and Csum of overloaded signature sets are metrics that are optimized simultaneously over the real/complex field. In this present work, closed-form expressions are derived for the MSC, Csum, and TAE of minimum-TSC binary signature sets. The expressions disprove the general equivalence of these performance metrics over the binary field and establish conditions on the number of signatures and signature length under which simultaneous optimization can or cannot be possible. The sum-capacity loss of the recently designed minimum-TSC binary sets is found to be rather negligible in comparison with minimum-TSC real/complex-valued (Welch-bound-equality) sets.
  • Keywords
    binary codes; binary sequences; code division multiple access; code division multiplexing; correlation theory; optimisation; spread spectrum communication; CDMA; Csum; MSC; TAE; TSC; Welch bound; binary field; binary sequence; code division multiplexing code; code-division multiple access; maximum squared correlation; minimum total-squared-correlation binary signature sets; optimization; performance metric; signal design; spread-spectrum communication; sum capacity; total asymptotic efficiency; total squared correlation; AWGN; Closed-form solution; Code division multiplexing; Communication channels; Frequency; Measurement; Multiaccess communication; Signal design; Signal to noise ratio; Spread spectrum communication;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2004.839542
  • Filename
    1377515