Channel equalization for self-synchronizing chaotic systems

Authors:
K. M. Cuomo;A. V. Oppenheim;R. J. Barron
Affiliations:
Lincoln Lab., MIT, Lexington, MA, USA;-;-
Venue:
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 03
Year:
1996

Citing 0
Cited 2

Optimal estimation and sequential channel equalization algorithms for chaotic communications systems

EURASIP Journal on Applied Signal Processing
A new approach for adaptive blind equalization of chaotic communication: The optimal linearization technique

Computers & Mathematics with Applications

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Abstract

Most strategies proposed for utilizing chaotic signals for communications exploit the self-synchronization property of a class of chaotic systems. Any realistic communication channel will introduce distortion including time-dependent fading, dispersion, and modification of the frequency content due to channel filtering and multipath effects. All of these distortions will affect the ability of the chaotic receiver to properly synchronize. This paper develops and illustrates some specific approaches to channel equalization to compensate for these distortions for self-synchronizing chaotic systems. The approaches specifically exploit the properties of chaotic drive signals and the self-synchronization properties of the receiver.