• DocumentCode
    1805271
  • Title

    Improving autocorrelation performance of Hyperhenon sequence based on APAS theorem

  • Author

    Chen, Bin

  • Author_Institution
    School of software and communication, JiangXi University of Finance and Economics, NanChang, China
  • fYear
    2013
  • fDate
    1-8 Jan. 2013
  • 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 Hyperhenon sequence, have poor autocorrelation performance, and their applications are limited. Based on recently presented APAS theorem, we modified Hyperhenon map to S-Hyperhenon map, and S-Hyperhenon 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
    Antennas; Manganese; Remote sensing; Autocorrelation; Chaos; Hyperhenon map; Phase space;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Conference Anthology, IEEE
  • Conference_Location
    China
  • Type

    conf

  • DOI
    10.1109/ANTHOLOGY.2013.6784959
  • Filename
    6784959