Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

Stable non-Gaussian noise parameter modulation in digital communication

Stable non-Gaussian noise parameter modulation in digital communication

For access to this article, please select a purchase option:

Buy article PDF
£12.50
(plus tax if applicable)
Add to cart
Buy Knowledge Pack
10 articles for £75.00
(plus taxes if applicable)
Add to cart

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
Electronics Letters — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

© The Institution of Engineering and Technology
Published

The parameter of the stable non-Gaussian noise sequence is modulated by the binary message sequence to achieve a secure communication system. The characteristic exponent ‘alpha’ of a stable non-Gaussian noise sequence carries the binary information. The receiver of the proposed random communication system demodulates the received signal by estimating the parameters of the transmitted noise sequence to recover the binary message sequence.

Inspec keywords: parameter estimation; demodulation; telecommunication security; signal processing; digital communication; Gaussian noise

Other keywords: stable nonGaussian noise parameter modulation; parameter estimation; binary message sequence; stable nonGaussian noise sequence; random communication system; received signal; digital communication; demodulation; secure communication system; transmitted noise sequence; binary information

Subjects: Signal processing and detection; Computer communications; Other topics in statistics; Modulation and coding methods

References

    1. 1)
      • B. Zhang , M. Chen , D. Zhou , Z. Li . Particle-filter-based estimation and prediction of chaotic states. Chaos Solitons Fractals , 1491 - 1498
    2. 2)
      • K.M. Cuomo , A.V. Oppenheim , H. Strogatz . Synchronization of Lorenz based chaotic circuits with applications to communications. IEEE Trans. Circuits Syst. , 10 , 626 - 633
    3. 3)
      • G. Samorodnitsky , M.S. Taqqu . (1994) Stable non-gaussian random processes.
    4. 4)
      • A. Janicki , A. Weron . (1994) Simulation and chaotic behaviour of α-stable stochastic processes.
    5. 5)
      • Basore, B.L.: `Noise-like signals and their detection by correlation', 1952, Ph. D., MIT, Cambridge, MA.
    6. 6)
      • E.E. Kuruoğlu . Density parameter estimation of skewed alpha-stabledistributions. IEEE Trans. Signal Process. , 10 , 2192 - 2201
    7. 7)
      • G. Kolumban , F.C.M. Lau , C.K. Tse . Generalization of waveform communications: the Fourier analyzer approach. Circuits Syst. Signal Process. , 5 , 451 - 474
    8. 8)
      • F.C.M. Lau , C.K. Tse . (2003) Chaos-based digital communication systems.
    9. 9)
      • T. Schimming , M. Hasler . Optimal detection of differential chaos shift keying. Int. J. Bifurcation Chaos , 11 , 1712 - 1719
    10. 10)
    11. 11)
      • P. Stavroulakis . (2006) Chaos applications in telecommunication.
    12. 12)
http://iet.metastore.ingenta.com/content/journals/10.1049/el.2009.2280
Loading

Related content

content/journals/10.1049/el.2009.2280
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
Print this page
This is a required field
Please enter a valid email address