NDLI: Synchronization of Chaotic Communication Systems via Kalman Filtering

Content Provider	IEEE Xplore Digital Library
Author	Suojun Lu Jian'an Fang Guoxiang Gu
Copyright Year	2006
Description	Author affiliation: Coll. of Inf. Sci. & Technol., Donghua Univ., Shanghai (Suojun Lu; Jian'an Fang)
Abstract	A general synchronization method is proposed for a class of nonlinear chaotic systems where the uncertain parameters are present, and the nonlinearities involve the transmitted signal. Under some mild conditions, it is shown that the class of nonlinear chaotic systems can be treated as linear time-varying systems, driven by the additive white noise contaminated at the receiver, or observed output. The synchronization is tackled via optimal filtering to which the results of Kalman filtering can be applied. We present some sufficient conditions under which the states of the driven system are able to track the states of the drive system asymptotically, and good tracking performance can be obtained in the presence of the additive white noise involved at the observed output
Starting Page	1533
Ending Page	1537
File Size	171441
Page Count	5
File Format	PDF
ISBN	1424403324
DOI	10.1109/WCICA.2006.1712607
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Chaotic communication Kalman filters Filtering Additive white noise Time varying systems Sufficient conditions Trajectory State estimation Transmitters Nonlinear systems Kalman filtering Chaotic systems secure communications synchronization uncertain parameters
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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