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Research On Chaotic Secure Communications Using Nonlinear Filtering Synchronization

Posted on:2014-01-14Degree:MasterType:Thesis
Country:ChinaCandidate:Y ZhangFull Text:PDF
GTID:2248330395998024Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
In the past20years, with the development of chaotic research, especially with chaoticcontrol and chaotic synchronization having a breakthrough, chaos has a wide range ofapplications in many fields. Particularly, the properties of chaotic signals are very consistentwith secure communication, so there are many studies on chaotic secure communication inrecent years. In this paper, we introduce the nonlinear filtering into chaotic synchronization,and discuss chaotic secure communication problems on the basis.One, we research on the synchronization of Lorenz system and hyperchaotic Chensystem with EKF and UKF filter, analyzes the filter model, and give the realization of thismethod. The simulations verify the effectiveness of this method.Two, we propose a kind of chaotic masking communication method based on filteringsynchronization, and then we realize the transmission of sine signal on Lorenz chaoticsystem, and analysis of the suppression capability to noise and the sensitivity to systemparameter. Finally we implement the transmission of voice signals on hyperchaotic Chensystem.Three, In this paper, we propose a new method of the synchronization of fractionalchaotic systems on combining the UKF and GL numerical algorithm, and then apply it tofractional Lorenz system. We analysis the filter model, and discussion the implementation ofthis method, and test the performance of this method by simulation, discuss the UKFfiltering synchronization method of fractional Lorenz system with unknown parameters.Four, we propose a new chaotic masking secure communication method using UKFsynchronous of fractional chaotic system, and test the performance of digital signalstransmission on fractional Lorenz system.
Keywords/Search Tags:Chaotic Synchronization, Nonlinear Filtering, Chaotic Secure Communication, Fractional Chaotic System
PDF Full Text Request
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