Please use this identifier to cite or link to this item: https://doi.org/10.1109/TCSII.2006.880012
Title: Performance analysis of nonlinear-predictive-filter-based chaotic synchronization
Authors: Kurian, A.P.
Puthusserypady, S. 
Keywords: Chaotic communication systems
Extended Kalman filter (EKF)
Nonlinear predictive filter (NPF)
Synchronization
Issue Date: Sep-2006
Source: Kurian, A.P.,Puthusserypady, S. (2006-09). Performance analysis of nonlinear-predictive-filter-based chaotic synchronization. IEEE Transactions on Circuits and Systems II: Express Briefs 53 (9) : 886-890. ScholarBank@NUS Repository. https://doi.org/10.1109/TCSII.2006.880012
Abstract: Synchronization of chaotic systems is essential for chaotic communication schemes. If the communication environment is modeled stochastic, the extended-Kalman-filter-(EKF)-based synchronization scheme possesses minimum error in estimating the states for certain chaotic systems/maps. However, its intrinsic nonlinear approximation error can cause divergence and, hence, desynchronization. In this brief, a nonlinear predictive filter (NPF) is proposed for chaotic synchronization. The condition for stability and an approximate expression for the total normalized mean square error are derived. Numerical evaluations reveal that the proposed NPF-based synchronization scheme has better performance compared with the EKF-based scheme. © 2006 IEEE.
Source Title: IEEE Transactions on Circuits and Systems II: Express Briefs
URI: http://scholarbank.nus.edu.sg/handle/10635/57016
ISSN: 10577130
DOI: 10.1109/TCSII.2006.880012
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