DocumentCode
301439
Title
Strange attractors used as telegraphic noise generators
Author
Costamagna, Eugenio ; Filigheddu, Gabriele ; Schirru, Alessio
Author_Institution
Dipartimento di Elettronica, Pavia Univ., Italy
Volume
2
fYear
1995
fDate
22-25 Oct 1995
Firstpage
1211
Abstract
Generative models for the error process in digital transmission channels are implemented deriving error gap lengths from chaotic equations by means of simple procedures. The results obtained by Costamagna and Schirru (see ibid., vol.1, p.577-581, 1994) from the Henon equations are completed, and continuous-time chaotic systems are introduced in order to provide a better adjustment of the renewal or non-renewal behavior of the error gap sequences. Simple procedures are introduced to allow independent control of the relevant statistical parameters of the generated error process. As an example, an UHF mobile radio channel is simulated, and the capability of the chaotic model to give adjustable non-renewal characteristics, yet exhibiting compliance to imposed statistical parameters, is demonstrated
Keywords
chaos; continuous time systems; digital communication; error statistics; land mobile radio; noise generators; sequences; telecommunication channels; telegraphy; Henon equations; UHF mobile radio channel; adjustable nonrenewal characteristics; channel simulation; chaotic equations; chaotic model; continuous-time chaotic systems; digital transmission channels; error gap lengths; error gap sequences; generative models; nonrenewal behavior; renewal behavior; statistical parameters control; strange attractors; telegraphic noise generators; Bit error rate; Chaos; Equations; Error correction; Fractals; Land mobile radio; Noise generators; Signal detection; Signal generators; Statistical distributions;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on
Conference_Location
Vancouver, BC
Print_ISBN
0-7803-2559-1
Type
conf
DOI
10.1109/ICSMC.1995.537936
Filename
537936
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