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A Multilevel Quantifying Spread Spectrum PN Sequence Based on Chaos of Cellular Neural Network

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Advances in Neural Networks - ISNN 2006 (ISNN 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3973))

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Abstract

A novel multilevel quantifying spread spectrum PN sequence based on the chaos of Cellular Neural Network (CNN) is proposed in this paper. The chaotic sequences are created from a CNN with three cells and multilevel quantified to be the PN sequences for the spread spectrum communication systems (SSCS). And then better sequences are filtered out in terms of the equilibria points, self-correlation and mutual-correlation of the chaotic PN sequences. These PN sequences can provide more enhanced multiple access capacity and robustness to the noises than conventional m- and Gold sequences because of the sensitivity to the initial conditions of the chaotic sequences and the good dynamical performance of the CNN. The filter processing helps the SSCS to resist on the rake declination and the interference from other users. The experiment results show that the proposed chaotic PN sequences are much better than the conventional sequences for SSCS.

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Author information

Authors and Affiliations

  1. School of Electronics and Information Technology, Harbin Institute of Technology, Harbin, Heilongjiang, 150001, China

    Yaqin Zhao, Nan Zhao, Zhilu Wu & Guanghui Ren

Authors
  1. Yaqin Zhao
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  2. Nan Zhao
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  3. Zhilu Wu
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  4. Guanghui Ren
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Editor information

Editors and Affiliations

  1. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China

    Jun Wang

  2. Computational Intelligence Laboratory, School of Computer Science and Engineering, University of Electronic Science and Technology of China, 610054, Chengdu, P.R. China

    Zhang Yi

  3. Department of Electrical Engineering, University of Louisville, 40292, Louisville, KY, U.S.A

    Jacek M. Zurada

  4. Laboratory for Computational Biology, Shanghai Center for Systems Biomedicine, 800 Dong Chuan Rd, 200240, Shanghai, China

    Bao-Liang Lu

  5. School of Electrical and Electronic Engineering, University of Manchester, UK

    Hujun Yin

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© 2006 Springer-Verlag Berlin Heidelberg

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Zhao, Y., Zhao, N., Wu, Z., Ren, G. (2006). A Multilevel Quantifying Spread Spectrum PN Sequence Based on Chaos of Cellular Neural Network. In: Wang, J., Yi, Z., Zurada, J.M., Lu, BL., Yin, H. (eds) Advances in Neural Networks - ISNN 2006. ISNN 2006. Lecture Notes in Computer Science, vol 3973. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11760191_25

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  • DOI: https://doi.org/10.1007/11760191_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34482-7

  • Online ISBN: 978-3-540-34483-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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