Adaptive identification of nonlinear systems with application to chaotic communications
- 1 July 2000
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Circuits and Systems I: Regular Papers
- Vol. 47 (7) , 1072-1080
- https://doi.org/10.1109/81.855462
Abstract
This paper studies the nonlinear system identification problem in a noisy environment using an adaptive algorithm. In particular, nonlinear systems of the polynomial type are considered here. An improved least squares (ILS) objective function is used to reduce the estimation bias caused by measurement noise. Based on this ILS criterion, a novel adaptive filter is developed to track a time-varying polynomial system. Numerical simulations showed that the proposed adaptive algorithm was superior to the conventional identification technique. We applied this new adaptive filter to demodulate the signals of transmission in a chaotic multiuser spread spectrum (SS) communication system. It was observed that the new approach was effective in demodulating a SS signal, even at low signal-to-noise ratios (SNR's).Keywords
This publication has 14 references indexed in Scilit:
- Narrowband interference cancellation in a chaotic CDMA communication systemPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Effective deterministic models for chaotic dynamics perturbed by noisePhysical Review E, 1997
- Design of demodulator for the chaotic modulation communication systemIEEE Transactions on Circuits and Systems I: Regular Papers, 1997
- Identifiability and identification of chaotic systems based on adaptive synchronizationIEEE Transactions on Circuits and Systems I: Regular Papers, 1997
- Secure communication via chaotic parameter modulationIEEE Transactions on Circuits and Systems I: Regular Papers, 1996
- New chaotic based communicationtechnique with multiuser provisionElectronics Letters, 1994
- The identification of nonlinear discrete-time fading-memory systems using neural network modelsIEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, 1994
- Strange attractors in multipath propagationIEEE Transactions on Communications, 1991
- On some system identification techniques for adaptive filteringIEEE Transactions on Circuits and Systems, 1988
- A Bayesian Study of the Error-in-Variables ModelTechnometrics, 1981