• DocumentCode
    1827800
  • Title

    Design of Chaos-Based Communication System with Use of the Derivative-Free Nonlinear Kalman Filter

  • Author

    Rigatos, Gerasimos G.

  • Author_Institution
    Unit of Ind. Autom., Ind. Syst. Inst., Rion Patras, Greece
  • Volume
    2
  • fYear
    2013
  • fDate
    4-7 Dec. 2013
  • Firstpage
    8
  • Lastpage
    14
  • Abstract
    A chaos-based communication system is designed in which extraction of the information signal at the receiver is performed with the use of a nonlinear filtering method of improved efficiency (Derivative-free nonlinear Kalman Filter). In the transmitter´s side the source of information undergoes modulation (encryption) using as carrier a chaotic signal generated by the Duffing oscillator. The modulated signal is transmitted through a communication channel and at the receiver´s side demodulation takes place, by exploiting the estimation provided for the state vector of the chaotic oscillator by the Derivative-free nonlinear Kalman Filter. The proposed filtering method has improved performance over the Extended Kalman Filter and reduces significantly transmission errors.
  • Keywords
    Kalman filters; chaotic communication; demodulation; nonlinear filters; oscillators; receivers; telecommunication channels; transmitters; Duffing oscillator; chaos-based communication system design; chaotic oscillator; communication channel; demodulation; derivative-free nonlinear Kalman filter; encryption; information signal extraction; modulation; nonlinear filtering method; receiver; transmitter; Chaotic communication; Estimation; Kalman filters; Modulation; Oscillators; Receivers; Derivative-free nonlinear Kalman Filter; chaotic communication system; chaotic oscillators; differential flatness theory; synchronization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Applications (ICMLA), 2013 12th International Conference on
  • Conference_Location
    Miami, FL
  • Type

    conf

  • DOI
    10.1109/ICMLA.2013.98
  • Filename
    6786074