DocumentCode
390169
Title
Symbolic dynamics method for chaotic communications
Author
Carroll, M. ; Williams, C.
Author_Institution
QinetiQ, Malvern, UK
Volume
1
fYear
2002
fDate
7-10 Oct. 2002
Firstpage
232
Abstract
A maximum likelihood estimation method is described as the receiving algorithm in a symbolic dynamics method of chaotic communication. This demonstrates significant improvement in performance over chaotic synchronisation based approaches. The technique also solves problems of phase slips and advances (which cause symbol deletions and insertions). Methods to reduce the complexity of the solution, without significant loss of performance, are described. The paper discusses the communication method from an information theoretic viewpoint, which demonstrates that the method has an inherent coding mechanism, which requires little excess bandwidth to achieve effective coding gain.
Keywords
Butterworth filters; chaotic communication; computational complexity; encoding; error correction codes; information theory; interference suppression; low-pass filters; maximum likelihood estimation; optimisation; receivers; Butterworth filters; chaotic communications; chaotic synchronisation; error correction coding; information theory; inherent coding mechanism; low pass filters; maximum likelihood estimation; noise reduction; optimisation; phase advance; phase slip; receiving algorithm; symbol deletion; symbol insertion; symbolic dynamics method; AWGN; Bandwidth; Chaotic communication; Communication system control; Maximum likelihood estimation; Noise robustness; Performance loss; System performance; Transmitters; Working environment noise;
fLanguage
English
Publisher
ieee
Conference_Titel
MILCOM 2002. Proceedings
Print_ISBN
0-7803-7625-0
Type
conf
DOI
10.1109/MILCOM.2002.1180445
Filename
1180445
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