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A new method for chaos control in communication systems

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  • Lin, Shih-Lin
  • Tung, Pi-Cheng

Abstract

With the increasing needs of global communication, the improvement of secure communication is of vital importance. This study proposes a new scheme for establishing secure communication systems. The new scheme separates white Gaussian noises from the chaotic signals with modified Independent Component Analysis (ICA) and then controls each chaotic signal. This scheme is able to deal with white Gaussian noises in the natural world. However, the signals separated by traditional ICA shows opposite phase and unequal amplitude, making chaos control impossible. Our study proposed a modified ICA, which can calculate accurately the phase and amplitude and ensure control of the chaotic systems. The result indicates that our proposed system can successfully separate white Gaussian noise and stabilize all the chaotic signals.

Suggested Citation

  • Lin, Shih-Lin & Tung, Pi-Cheng, 2009. "A new method for chaos control in communication systems," Chaos, Solitons & Fractals, Elsevier, vol. 42(5), pages 3234-3241.
    • Handle: RePEc:eee:chsofr:v:42:y:2009:i:5:p:3234-3241
    DOI: 10.1016/j.chaos.2009.04.054
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    References listed on IDEAS

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    Cited by:

    1. Feng-Hsiag Hsiao, 2017. "Optimal fuzzy control of exponential synchronisation via genetic algorithm," International Journal of Systems Science, Taylor & Francis Journals, vol. 48(8), pages 1569-1580, June.
    2. Kajbaf, Amin & Akhaee, Mohammad Ali & Sheikhan, Mansour, 2016. "Fast synchronization of non-identical chaotic modulation-based secure systems using a modified sliding mode controller," Chaos, Solitons & Fractals, Elsevier, vol. 84(C), pages 49-57.
    3. Feng-Hsiag Hsiao, 2016. "A neural-network-based exponential synchronisation for chaotic secure communication via improved genetic algorithm," International Journal of Systems Science, Taylor & Francis Journals, vol. 47(13), pages 3149-3166, October.

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