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Izvestiya SFedU
Engineering sciences
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ISSN 1999-9429 print
ISSN 2311-3103 online
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  • IMPROVING INTERFERENCE IMMUNITY OF GROUND-TO-AIR RADIO LINKS BY ADAPTIVE ROUTE MODIFICATION OF A UAV RELAY BASED ON INTERFERENCE ENVIRONMENT ANALYSIS

    А. А. Shmidt , V.R. Bikbulatov , D.N. Polyakov , А.А. Tkhakakhov
    2026-04-29
    Abstract ▼

    The relevance of the work is driven by the increasing intensity of electronic countermeasures in the tactical command echelon, where traditional relay communication methods with fixed routes fail to ensure the required interference immunity and signal security. The objective of this study is to develop a method for adaptive route control of a UAV relay based on continuous monitoring of the electromagnetic environment in order to improve interference immunity of ground-to-air radio links. The primary method employed is multi-criteria flight path optimization with adaptive weighting coefficients, simultaneously considering three criteria: minimization of interference levels at the relay operating frequencies, ensuring radio accessibility with network correspondents, and reduction of detection probability by enemy electronic warfare assets. To reconstruct the spatial interference pattern from a limited set of onboard measurements, several interpolation and extrapolation methods are examined: inverse distance weighting, radial basis function interpolation, and statistical extrapolation based on a spatial correlation function. A cyclic operational procedure for the adaptive routing system is developed, comprising data collection, construction of a three-dimensional interference map, prediction of its evolution, calculation of the optimal trajectory, and monitoring of the maneuver outcome. Simulation results show that the proposed method increases the signal-to-interference ratio by 1.5–2 dB on average and up to 8 dB in the worst-case scenario compared to fixed-route flight. The practical significance lies in the possibility of implementing the proposed method using existing UAV platforms and radio-electronic equipment without fundamentally new technical solutions.

  • STATEMENT THE PROBLEM OF SIMULATION OF DECISION-MAKING PROCESSES IN COMPLEX ORGANIZATIONAL-TECHNICAL SYSTEMS

    G.V. Gorelova
    2020-07-10
    Abstract ▼

    The article considers the features of organizational - technical systems (SOTS), belonging to the class of complex. SOTS may include robotic complexes, automated production, electronic sys-tems and devices used to transmit and convert information, etc. In the modern sense, SOTS are information and technical systems and are currently not only technical objects, they can also be classified as cyberphysical systems (CPS). The effectiveness of SOTS can be determined by many criteria, which should vary in content and time depending on the goals, stage of the existence of SOTS, the influence of internal and external environment. This determines the specificity of mana-gerial decision-making processes in them, requiring preliminary simulation modeling, especially at the design stages of these systems. The general formulation of the simulation problem is given, based on the combination of three approaches to the solution: cognitive, multi-criteria and multi-stage, probabilistic uncertainty. Which are combined into a single complex. Models of a multi-stage decision-making process, a probabilistic model problem of the nominal optimum and cogni-tive modeling of complex systems are proposed A demo example is presented, consisting of the development of a cognitive map of conditional SOTS, functioning in the presence of threats, modeling of functioning scenarios on a cognitive map with hypothetical changes in control and dis-turbing influences on the system. It is shown that at certain stages of decision-making with varia-tions of criteria-based assessments and control actions, it is possible to suppress threats to the system, as well as increase its effectiveness. Simulation was performed using the author's software system CMLS. The developed mathematical and software are designed for intelligent control sys-tems for the rational behavior of complex objects.

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