Open AccessA novel method of estimating parameter and its application to blind separation of chaotic signals
Author(s) -
Shiyuan Wang,
Jufu Feng
Publication year - 2012
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.61.170508
Subject(s) - chaotic , convergence (economics) , computer science , nonlinear system , algorithm , estimation theory , blind signal separation , control theory (sociology) , mathematics , mathematical optimization , artificial intelligence , physics , telecommunications , economics , economic growth , channel (broadcasting) , control (management) , quantum mechanics
To estimate effectively parameters of nonlinear mapping, a cubature rule is used to approximate the weighted integral of this mapping. In this paper, based on these parameters modeled by a state-space model, a novel parameter estimation is proposed. Blind separation of chaotic signals is a challenging problem. The proposed method is used to solve this problem to achieve the effective reconstruction of chaotic signals. Simulation results indicate that the proposed method has a faster convergence speed and a higher numerical accuracy, and can effectively separate original chaotic signals.