• DocumentCode
    3287482
  • Title

    Improving autocorrelation performance of Skew Tent sequence based on APAS theorem

  • Author

    Chen, Bin

  • Author_Institution
    Sch. of Software & Commun., JiangXi Univ. of Finance & Econ., Nanchang, China
  • fYear
    2011
  • fDate
    15-17 April 2011
  • Firstpage
    1424
  • Lastpage
    1427
  • Abstract
    Chaotic sequences, as a kind of pseudorandom sequences, have been widely used. But some well known chaotic sequences, such as Skew Tent sequence, have poor autocorrelation performance, and their applications are limited. Based on recently presented APAS theorem, we modified Skew Tent map to S-Skew Tent map, and S-Skew Tent sequence has excellent autocorrelation performance and simple structure, whereas its other performances are remained invariant or become better, and can be used more widely.
  • Keywords
    chaos; correlation theory; random sequences; APAS theorem; S-skew tent map; autocorrelation performance; autocorrelation phase-space axis symmetric theorem; chaotic sequences; pseudorandom sequences; skew tent sequence; Chaotic communication; Correlation; Delay; Radar imaging; Trajectory; Autocorrelation; Chaos; Phase space; Skew Tent map;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Information and Control Engineering (ICEICE), 2011 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-8036-4
  • Type

    conf

  • DOI
    10.1109/ICEICE.2011.5777985
  • Filename
    5777985