DocumentCode
1432613
Title
Optimal detection of differential chaos shift keying
Author
Schimming, Thomas ; Hasler, Martin
Author_Institution
Lab. of Nonlinear Syst., Swiss Fed. Inst. of Technol., Lausanne, Switzerland
Volume
47
Issue
12
fYear
2000
fDate
12/1/2000 12:00:00 AM
Firstpage
1712
Lastpage
1719
Abstract
Recent advances in the development of communication schemes based on chaos suggest that differential chaos shift keying (DCSK) is one of the most promising candidates for a feasible implementation. Traditionally, the demodulation-decoding of DCSK has been achieved by means of a noncoherent approach based on a correlation detector This approach in general works fur any differential noise shift keying out of which DCSK is a subclass, i.e., it does not exploit the chaotic dynamics involved. In this paper it is shown that the simple correlation detector can be augmented by information based on the chaotic dynamics to improve the performance, yielding a statistically optimal detection. Introducing a rigorous probabilistic framework, the optimal receiver for additive white Gaussian noise is derived, and it is shown that it decomposes into a part based an correlation and a part based on the chaotic dynamics
Keywords
AWGN channels; Bayes methods; Markov processes; chaos; correlation methods; demodulation; differential detection; digital communication; modulation; piecewise linear techniques; probability; spread spectrum communication; Bayesian estimation; Markov maps; SS communication; additive white Gaussian noise; block length influence; chaotic dynamics; demodulation-decoding; differential chaos shift keying; differential noise shift keying; digital communication; optimal detection; optimal receiver; piecewise linear maps; rigorous probabilistic framework; simple correlation detector; AWGN; Additive noise; Additive white noise; Chaos; Chaotic communication; Detectors; Digital communication; Frequency; Gaussian noise; Spread spectrum communication;
fLanguage
English
Journal_Title
Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on
Publisher
ieee
ISSN
1057-7122
Type
jour
DOI
10.1109/81.899923
Filename
899923
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