Derived Signals Systems for Information Communication Systems Applications: Synthesis, Formation, Processing and Properties

Abstract

The information and communication systems (ICS) of objects, especially those of critical use, are faced with increasingly stringent requirements to ensure the effectiveness of their functioning (speed of information transfer, survivability, information security, noise immunity of data transmission). The increased requirements for quick decision-making and communication to performers (users) of information under internal and external influences are largely not taken into account by existing information technologies. There is a contradiction between strict requirements for secrecy, confidentiality, integrity, and reliability of data stored and transmitted over wireless communication lines, on the one hand, and existing models, methods and technologies for managing telecommunication networks, information security, services and quality of service, on the other side. The main ways to resolve this contradiction is to increase noise immunity (in particular, noise immunity, energy, structural and information secrecy) and information security of ICS by improving the methodological foundations of constructing ICS by developing methods of information exchange, methods of synthesis of new classes of signals with the necessary ensemble, correlation and structural properties. In modern multi-user ICS, broadband signals are actively used. The use of broadband signals (SHSS) can improve the noise immunity of signal reception in the IKS when exposed to structural (mutual), relayed and other deliberate interference. In this case, real noise immunity will be lower than potential. The reasons for the decrease in noise immunity when receiving signals is the presence of side peaks of the cross-correlation functions (VKF) of the signals. It is shown in the work that the noise immunity of signal reception in ICS, to a significant extent, depends on the correlation and statistical properties of the VKF of the used signal systems. Based on computer modeling and calculations, it is shown that the smallest value of the probability of error in solving the problem of receiving signals will occur for the so-called derived signals, which form on the basis of Hadamard matrix rows (as source signals) and nonlinear discrete complex characteristic and cryptographic signals (as generating signals). The signals selection requirements for derived signals systems formation are formulated.