Open AccessModeling of information channel by using of pseudorandom signals of nonlinear dynamical system
Author(s) -
И. К. Насыров,
В. В. Андреев
Publication year - 2020
Publication title -
izvestiâ vysših učebnyh zavedenij. problemy ènergetiki
Language(s) - English
Resource type - Journals
eISSN - 2658-5456
pISSN - 1998-9903
DOI - 10.30724/1998-9903-2020-22-4-79-87
Subject(s) - pseudorandom number generator , nonlinear system , chaotic , dynamical systems theory , mathematics , dynamical system (definition) , lorenz system , bernoulli's principle , signal (programming language) , algorithm , autocorrelation , control theory (sociology) , computer science , physics , statistics , artificial intelligence , control (management) , quantum mechanics , thermodynamics , programming language
Pseudorandom signals of nonlinear dynamical systems are studied and the possibility of their application in information systems analyzed. Continuous and discrete dynamical systems are considered: Lorenz System, Bernoulli and Henon maps. Since the parameters of dynamical systems (DS) are included in the equations linearly, the principal possibility of the state linear control of a nonlinear DS is shown. The correlation properties comparative analysis of these DSs signals is carried out.. Analysis of correlation characteristics has shown that the use of chaotic signals in communication and radar systems can significantly increase their resolution over the range and taking into account the specific properties of chaotic signals, it allows them to be hidden. The representation of nonlinear dynamical systems equations in the form of stochastic differential equations allowed us to obtain an expression for the likelihood functional, with the help of which many problems of optimal signal reception are solved. It is shown that the main step in processing the received message, which provides the maximum likelihood functionals, is to calculate the correlation integrals between the components and the systems under consideration. This made it possible to base the detection algorithm on the correlation reception between signal components. A correlation detection receiver was synthesized and the operating characteristics of the receiver were found.