• DocumentCode
    2196611
  • Title

    Improving Autocorrelation and RFM Autocorrelation Performance of Skew Tent Sequence

  • Author

    Chen, Bin

  • Author_Institution
    Sch. of Software & Commun. Eng., Jiangxi Univ. of Finance & Econ., NanChang, China
  • Volume
    1
  • fYear
    2011
  • fDate
    14-15 May 2011
  • Firstpage
    298
  • Lastpage
    301
  • Abstract
    Chaotic sequences have been widely used as pseudorandom sequences. But some well known chaotic sequence has poor autocorrelation, or after modulation, autocorrelation performance become poor, and their applications are limited. Such as Skew Tent sequence, not only has poor autocorrelation performance, but also its RFM signal has poor autocorrelation, too. Based on recently presented APAS theorem, we modified Skew Tent map to DS-Skew Tent map, and DS-Skew Tent sequence has excellent autocorrelation and RFM autocorrelation performance and has simple structure, whereas its other performances are remained invariant or become better, and can be used more widely.
  • Keywords
    correlation methods; frequency modulation; random sequences; APAS theorem; RFM autocorrelation performance; chaotic sequences; pseudorandom sequence; random frequency modulation; skew tent sequence; Chaotic communication; Correlation; Delay; Radar imaging; Trajectory; Autocorrelation; Chaos; Phase space; Skew Tent map;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network Computing and Information Security (NCIS), 2011 International Conference on
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-61284-347-6
  • Type

    conf

  • DOI
    10.1109/NCIS.2011.67
  • Filename
    5948737