• DocumentCode
    3438423
  • Title

    Research on autocorrelation of chaotic sequence by phase space method

  • Author

    Chen, Bin ; Cai, Peng ; Zhang, Yong ; Huang, Jian ; Wu, Yun-Song ; Tang, Jun

  • Author_Institution
    Sch. of Software & Commun. Eng., Jiangxi Univ. of Finance & Econ., Nanchang, China
  • fYear
    2010
  • fDate
    25-27 June 2010
  • Firstpage
    6
  • Lastpage
    12
  • Abstract
    Chaotic sequences have been widely used as pseudorandom sequences. But the problem of how to judge their autocorrelation function´s performances are good or not, up to now, have not been solved. In the paper, by method of phase space, we studied the autocorrelation function of chaotic sequence and discovered that their performance is determined by whether its phase space trajectory is axis symmetrical. This paper deduced theorems to describe and solve these problems, and presented a simple and effective method to judge autocorrelation performance of chaotic sequences, and a method to improve their autocorrelation performance was presented, too. Many simulations were presented to verify the theorems and methods.
  • Keywords
    Autocorrelation; Chaos; Chaotic communication; Engineering management; Finance; Financial management; Radar; Random sequences; Signal processing; Trajectory; Autocorrelation; Chaos; Phase space; Pseudorandom sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Information Security (WCNIS), 2010 IEEE International Conference on
  • Conference_Location
    Beijing, China
  • Print_ISBN
    978-1-4244-5850-9
  • Type

    conf

  • DOI
    10.1109/WCINS.2010.5541875
  • Filename
    5541875