• DocumentCode
    1351695
  • Title

    On Aperiodic-Correlation Bounds

  • Author

    He, Hao ; Stoica, Petre ; Li, Jian

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Florida, Gainesville, FL, USA
  • Volume
    17
  • Issue
    3
  • fYear
    2010
  • fDate
    3/1/2010 12:00:00 AM
  • Firstpage
    253
  • Lastpage
    256
  • Abstract
    We present a new derivation of a lower bound for an aperiodic correlation metric: the integrated sidelobe level (ISL) of a set of sequences under the energy constraint. Sequences (or sequence sets) with low aperiodic correlations are widely demanded in many applications, including radar/sonar range compression, medical imaging, channel estimation and multi-user spread-spectrum communications. While the lower bound has been implicitly discussed in the literature before, here we adopt a different framework to derive the bound. In particular, we make use in the derivation of our recently proposed cyclic algorithm framework, which can also be used to efficiently synthesize unimodular sequences with low correlations. We also show that by relaxing the unimodular constraint, the ISL lower bound can be approached closely.
  • Keywords
    correlation methods; sequences; aperiodic-correlation bounds; channel estimation; cyclic algorithm framework; integrated sidelobe level; medical imaging; multiuser spread-spectrum communications; radar range compression; sonar range compression; unimodular sequence synthesis; Aperiodic correlation; integrated sidelobe level (ISL); lower bound;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2009.2038108
  • Filename
    5350742