2015
DOI: 10.1155/2015/471913
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Chaotic Secure Communication Systems with an Adaptive State Observer

Abstract: This paper develops a new digital communication scheme based on using a unified chaotic system and an adaptive state observer. The proposed communication system basically consists of five important elements: signal modulation, chaotic encryption, adaptive state observer, chaotic decryption, and signal demodulation. A sequence of digital signals will be delivered from the transmitter to the receiver through a public channel. It is rather reasonable that if the number of signals delivered on the public channel i… Show more

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Cited by 17 publications
(8 citation statements)
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“…On the other hand, chaotic systems and their related applications for covert communication have widely been studied over the past several decades [8]- [17]. Chaotic systems also have significant advantages in AJ and LPI applications by utilizing non-linear signals [18].…”
Section: Nr-dcskmentioning
confidence: 99%
“…On the other hand, chaotic systems and their related applications for covert communication have widely been studied over the past several decades [8]- [17]. Chaotic systems also have significant advantages in AJ and LPI applications by utilizing non-linear signals [18].…”
Section: Nr-dcskmentioning
confidence: 99%
“…Nonlinear control laws are designed to assure that the error system matrix eigenvalues constantly existed inside the unit circle in the z domain. This assures the stability of the overall estimate of a system error, and so that makes the master‐slave system without any synchronization complexity . The synchronization of chaos systems has important applications in secure communications .…”
Section: Introductionmentioning
confidence: 99%
“…Owing to the huge range of potential applications, chaos control and chaos synchronization (2)(3)(4)(5)(6)(7)(8)(9) have received a great deal of attention among researchers in many fields, such as physical (10) and chemical systems, (11,12) power converters, (13) ecological and biological systems, (14,15) financial systems, (16) and secure communication. (17,18) In applications, it is either inefficient or impractical to measure all the elements of the state vector under practical hardware limitations. Moreover, a state observer can be applied to compute the reconstruction and take the place of sensor signals in the event of sensor failures.…”
Section: Introductionmentioning
confidence: 99%