Skip to main content

Experimental Spread Spectrum Communication System Based on CNN

  • Conference paper
Advances in Neural Networks - ISNN 2004 (ISNN 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3174))

Included in the following conference series:

  • 1232 Accesses

Abstract

A new spread spectrum communication system based on CNN is proposed in this paper. Chaos is generated with three cell CNN, then it’s transferred to a digital sequence. The chaotic sequence is better than gold sequence when they are utilized in direct sequence spread spectrum system. Compared with the traditional gold sequence system, there is 2dB improvement in CNN chaotic sequence system when the channel is additive white Gaussian noise channel, and there is more improvement in CNN chaotic sequence system when the channel is multi-path channel. The structure of hardware CNN spread spectrum system is also shown at last.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Chua, L.O., Yang, L.: Cellular Neural Networks: Theory. IEEE Trans. Circuits Syst. 35, 1257–1272 (1988)

    Article  MATH  MathSciNet  Google Scholar 

  2. Chua, L.O., Yang, L.: Cellular Neural Networks: Applications. IEEE Trans. Circuits Syst. 35, 1273–1290 (1988)

    Article  MathSciNet  Google Scholar 

  3. Zou, F., Nossek, J.: Bifurcation and Chaos in Cellular Neural Networks. IEEE Trans. Circuits Syst. 40, 166–173 (1993)

    Article  MATH  MathSciNet  Google Scholar 

  4. Kapitaniak, T., Chua, L.O., Zhong, G.Q.: Experiment Hyperchaos in Coupled Chua’s Circuits. IEEE Trans. on CAS, Part I 41, 499–503 (1994)

    Article  Google Scholar 

  5. Wang, M., Qiu, H., Wu, S.: Enhanced FM-DCSK: A New Modulation Scheme for Chaotic Communications. Journal of Circuits and System 8, 82–87 (2003)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Zhao, J., Guo, S., Yu, D. (2004). Experimental Spread Spectrum Communication System Based on CNN. In: Yin, FL., Wang, J., Guo, C. (eds) Advances in Neural Networks - ISNN 2004. ISNN 2004. Lecture Notes in Computer Science, vol 3174. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28648-6_46

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-28648-6_46

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22843-1

  • Online ISBN: 978-3-540-28648-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics