Publication de 12 numéros par an
ISSN Imprimer: 0040-2508
ISSN En ligne: 1943-6009
Indexed in
KEYING OF THE BROADBAND CHAOTIC SIGNAL SPECTRUM FOR DATA TRANSMISSION
RÉSUMÉ
In the advanced radar and telecommunication engineering, chaotic signals are considered to be an efficient solution enabling one to extend the functional capabilities and enhance the characteristics of the developed hardware. The author suggests a data transmission technique based on chaotic signals generated by a nonlinear dynamic system with a delayed circular-type feedback. A modulating data sequence governs a parameter of a nonlinear component, thus inducing a switch of the chaotic modes as the spectrum structure of the signal, transmitted into the coupling channel, changes. The noncoherent reception is used to demodulate the received data. This paper proves the efficiency of the suggested data transmission technique if applied in secure communication systems in a high interference signaling environment.
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Zemlyaniy Oleg, Lukin Konstantin, Chaos-Based Spectral Keying Technique for Secure Communication and Covert Data Transmission between Radar Receivers over an Open Network Channel, in Telecommunication Networks - Trends and Developments, 2019. Crossref
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Lukin Konstantin, Zemlyaniy Oleg, Chaos-based spectral keying technique for design of radar-communication systems, 2019 Signal Processing Symposium (SPSympo), 2019. Crossref
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Semenov Andriy, Semenova Olena, Osadchuk Oleksandr, Osadchuk Iaroslav, Koval Kostyantyn, Baraban Serhii, Baraban Mariia, Pulse and Multifrequency Van der Pol Generators Based on Transistor Structures with Negative Differential Resistance for Infocommunication System Facilities, in Data-Centric Business and Applications, 69, 2021. Crossref
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Wang Qiao, Tian Zean, Wu Xianming, Tan Weijie, Coexistence of Multiple Attractors in a Novel Simple Jerk Chaotic Circuit With CFOAs Implementation, Frontiers in Physics, 10, 2022. Crossref
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Rybin Vyacheslav, Butusov Denis, Rodionova Ekaterina, Karimov Timur, Ostrovskii Valerii, Tutueva Aleksandra, Discovering Chaos-Based Communications by Recurrence Quantification and Quantified Return Map Analyses, International Journal of Bifurcation and Chaos, 32, 09, 2022. Crossref