• DocumentCode
    1612722
  • Title

    Improving autocorrelation performance of Henon sequence based on APAS theorem

  • Author

    Chen, Bin

  • Author_Institution
    School of software and communication, JiangXi University of Finance and Economics, NanChang, China
  • fYear
    2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Chaotic sequences, as a kind of pseudorandom sequences, have been widely used. But some well known chaotic sequences, such as Henon sequence, have poor autocorrelation performance, and their applications are limited. Based on recently presented APAS theorem, we modified Henon map to S-Henon map, and S-Henon 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
    Chaotic communication; Correlation; Delay; Radar imaging; Trajectory; Autocorrelation; Chaos; Henon map; Phase space;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    E -Business and E -Government (ICEE), 2011 International Conference on
  • Conference_Location
    Shanghai, China
  • Print_ISBN
    978-1-4244-8691-5
  • Type

    conf

  • DOI
    10.1109/ICEBEG.2011.5877020
  • Filename
    5877020