• DocumentCode
    390169
  • Title

    Symbolic dynamics method for chaotic communications

  • Author

    Carroll, M. ; Williams, C.

  • Author_Institution
    QinetiQ, Malvern, UK
  • Volume
    1
  • fYear
    2002
  • fDate
    7-10 Oct. 2002
  • Firstpage
    232
  • Abstract
    A maximum likelihood estimation method is described as the receiving algorithm in a symbolic dynamics method of chaotic communication. This demonstrates significant improvement in performance over chaotic synchronisation based approaches. The technique also solves problems of phase slips and advances (which cause symbol deletions and insertions). Methods to reduce the complexity of the solution, without significant loss of performance, are described. The paper discusses the communication method from an information theoretic viewpoint, which demonstrates that the method has an inherent coding mechanism, which requires little excess bandwidth to achieve effective coding gain.
  • Keywords
    Butterworth filters; chaotic communication; computational complexity; encoding; error correction codes; information theory; interference suppression; low-pass filters; maximum likelihood estimation; optimisation; receivers; Butterworth filters; chaotic communications; chaotic synchronisation; error correction coding; information theory; inherent coding mechanism; low pass filters; maximum likelihood estimation; noise reduction; optimisation; phase advance; phase slip; receiving algorithm; symbol deletion; symbol insertion; symbolic dynamics method; AWGN; Bandwidth; Chaotic communication; Communication system control; Maximum likelihood estimation; Noise robustness; Performance loss; System performance; Transmitters; Working environment noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    MILCOM 2002. Proceedings
  • Print_ISBN
    0-7803-7625-0
  • Type

    conf

  • DOI
    10.1109/MILCOM.2002.1180445
  • Filename
    1180445