Extended-Kalman-Filter-Based Chaotic Communication

Autor: Jiang-Ming Yu, 余江明
Rok vydání: 2003
Druh dokumentu: 學位論文 ; thesis
Popis: 91
An extended-Kalman-filter-based chaotic communication is first proposed in this thesis. First, the optimal linearization technique is utilized to find the exact linear models of the chaotic system at operating states of interest. Then, an extended Kalman filter (EKF) algorithm is used to estimate both the parameters and states where the message is already embedded. By the extended Kalman filter together with the optimal linear model, the message can be recovered well at the receiver’s end. Numerical examples and simulations are given to show the effectiveness of the proposed methodology.
Databáze: Networked Digital Library of Theses & Dissertations