• DocumentCode
    554123
  • Title

    Improvement of autocorrelation performance of OCML Spatiotemporal chaotic sequence based on APAS theorem

  • Author

    Bin Chen

  • Author_Institution
    Sch. of Software & Commun., JiangXi Univ. of Finance & Econ., Nanchang, China
  • Volume
    3
  • fYear
    2011
  • fDate
    26-28 July 2011
  • Firstpage
    1390
  • Lastpage
    1393
  • Abstract
    Spatiotemporal chaotic sequences have been widely used as a kind of complex pseudorandom sequences. But some well known Spatiotemporal chaotic sequences, such as One Way Couple Map Lattices (OCML) sequence, have poor autocorrelation performance, and their applications are limited. Based on recently presented Autocorrelation Phase-space Axis Symmetric (APAS) theorem, we modified OCML map to Symmetrical-OCML (S-OCML) map, and S-OCML sequence has excellent autocorrelation performance, whereas its other performances remain invariant or become better, and can be used more widely.
  • Keywords
    chaotic communication; correlation theory; random sequences; spatiotemporal phenomena; APAS theorem; OCML spatiotemporal chaotic sequence; S-OCML sequence; autocorrelation phase-space axis symmetric theorem; complex pseudorandom sequence; one way couple map lattices sequence; symmetrical-OCML map; Chaotic communication; Correlation; Delay; Logistics; Radar; Trajectory; Autocorrelation; Chaos; OCML map; Phase space;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2011 Seventh International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2157-9555
  • Print_ISBN
    978-1-4244-9950-2
  • Type

    conf

  • DOI
    10.1109/ICNC.2011.6022319
  • Filename
    6022319