Adaptive identification of nonlinear systems with application to chaotic communications

IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications

Volumn 47, Issue 7, 2000, Pages 1072-1080

  Zhu, Zhiwen ^a   Leung, Henry ^b  

^a MCMASTER UNIVERSITY   (Canada)

^b UNIVERSITY OF CALGARY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE ALGORITHMS; CHAOS THEORY; COMPUTER SIMULATION; DEMODULATION; DIGITAL FILTERS; IDENTIFICATION (CONTROL SYSTEMS); LEAST SQUARES APPROXIMATIONS; POLYNOMIALS; SIGNAL TO NOISE RATIO; SPREAD SPECTRUM COMMUNICATION; TIME VARYING SYSTEMS;

BILINEAR SYSTEM; CHAOTIC COMMUNICATION; IMPROVED LEAST SQUARES; NONLINEAR SYSTEM IDENTIFICATION; TIME VARYING POLYNOMIAL SYSTEM;

NONLINEAR SYSTEMS;

EID: 0034227432     PISSN: 10577122     EISSN: None     Source Type: Journal    
DOI: 10.1109/81.855462     Document Type: Article

References (15)

1. T. Söderström and P. Stoica, "On some system identification techniques for adaptive filtering," IEEE Trans. Circuits Syst., vol. 35, pp. 457161, 1988.
2. G. P. Box and G. M. Jenkins, Time Series Analysis, Forecasting and Control, 3rd ed. Englewood Cliffs, NJ: Prentice-Hall, 1994.
3. M. Marione, "Blind deconvolution in spread spectrum communications over nonminimum phase channels," in Proc. IEEE MILCOM Conf., 1994, pp. 46367.
4. X. Huang and H. Leung, "Narrowband interference cancellation in a chaotic CDMA system," in IEEE Pacific RIM Conf. Communications Computers Signal Processing, Victoria, B.C., Canada, 1995.
5. I. W. Hunter and M. J. Korenberg, "The identification of nonlinear biological systems: Wiener and Hammerstein cascade models," Biolog. Cybern., vol. 55, pp. 135-144, 1986.
6. C. Tannous, R. Davies, and A. Angus, "Strange attractor in multipath propagation," IEEE Trans. Commun., vol. 39, pp. 629-631, 1991.
7. M. B. Mattews and G. S. Moschytz, "The identification of nonlinear discrete-time fading-memory systems using neural network models," IEEE Trans. Circuits Syst. II, vol. 41, pp. 740-751, 1994.
8. V. J. Mattews, "Adaptive polynomial filters," IEEE Signal Processing Mag., pp. 10-26, July 1991.
9. H. Leung and J. Lam, "Design of demodulator for the chaotic modulation communication,"lEEETrans. Circuits Syst. I, vol. 44, pp. 262-267', 1997.
10. J. M. H. Elmirghani and R. A. Cryan, "New chaotic based communication technique with multiuser provision," Electron. Lett., vol. 30, pp. 1206-1207, 1994.
11. Y. Tao and L. O. Chua, "Secure communication via chaotic parameter modulation," IEEE Trans. Circuits Syst. l, vol. 43, pp. 817-819, 1996.
12. P. M. Reily and H. Patino-Leal, "A Bayesian study of the error-in-variables model," Technometrics, vol. 23, pp. 221-231, 1981.
13. W. A. Fuller, Measurement Error Models. New York: Wiley, 1987.
14. L. Jaeger and H. Kantz, "Effective deterministic models for chaotic dynamics perturbed by noise," Phys. Rev. E, vol. 55, pp. 5234-5247, 1997.
15. H. Dedieu and M. J. Ogorzalek, "Identifiability and identification of chaotic systems based on adaptive synchronization," IEEE Trans. Circuits Syst. I, vol. 44, pp. 948-962, 1997.