STATISTICAL PROPERTIES OF TELEKOMMUNICATION SIGNALS BASED ON CHAOTIC FLUCTUATING

Abstract

A new approach is suggested to the development of methods for the synthesis of large ensembles of noise-type signals with improved structural and group-based properties of chaotic fluctuating discrete representation of nonlinear dynamical systems. The statistical properties as multilevel Gaussian type were researched and binary signals based on chaotic fluctuating. Correlation coefficients are calculated, autocorrelation and interrelation functions are determined, the spectral density graphs presented. Minimum distance was determined of Hamming metric. It shows that the minimum distance increases as the length of the code sequences, and tends to the value equal to half their length, there is an optimal code distance of the Hamming metric. It is shown that the synthesized signals in the practice of permit without impairing noise immunity greatly increase the structural information and secrecy of telecommunications and the operation of radio systems based on them.