Separation of chaotic signals using their inherent dynamical nature

Author

Andreyev, Yuri V. ; Dmitiriev, A.S. ; Efremova, Elena V.

Author_Institution

Inst. of Radio Eng. & Electron., Acad. of Sci., Moscow, Russia

Volume

3

fYear

2000

fDate

2000

Firstpage

418

Abstract

Here we describe a method for separating the sum of chaotic signals into the individual components, using the inherent underlying dynamics of the chaotic sources. Capabilities of the method are demonstrated on example of discrete-time systems, one-dimensional logistic maps. We demonstrate that the proposed approach based on backward iteration of the mapping equations describing the chaotic sources has good resistance in respect to additive external noise

Keywords

chaos; discrete time systems; iterative methods; multi-access systems; signal processing; synchronisation; additive external noise; backward iteration; chaotic signals separation; chaotic sources; chaotic synchronization; discrete-time systems; inherent dynamical nature; inherent underlying dynamics; mapping equations; multiplexing; one-dimensional logistic maps; signal separation; Additive noise; Chaos; Chaotic communication; Equations; Frequency conversion; Frequency synchronization; Multiaccess communication; Source separation; Time division multiple access; Transmitters;

fLanguage

English

Publisher

ieee

Conference_Titel

Control of Oscillations and Chaos, 2000. Proceedings. 2000 2nd International Conference

Conference_Location

St. Petersburg

Print_ISBN

0-7803-6434-1

Type

conf

DOI

10.1109/COC.2000.874273

Filename

874273