Обосновывается актуальность разработки оперативно развертываемого и передислоцируемого комплекса, в котором используются сети пассивной радиолокации и существующие вышки операторов мобильной связи. Излагаются преимущества такого подхода, рассматриваются структура комплекса, состав и функции его компонент.
The article deals with the issues of simulation modeling of the use of electronic warfare units and subunits in military simulation complexes: factors and parameters that affect the result of their use. The aim of the work is to assess the influence of significant parameters of the control system on the effectiveness of the use of electronic warfare units and subunits for their further consideration when building a model of the control system in military simulating complexes. Scientific novelty lies in the development of a methodology for evaluating the effectiveness of the use of electronic warfare units and subunits, taking into account the significant parameters of the control system. Various options for constructing a model of the functioning of the control system are considered. An example of the process of modeling the use of electronic warfare units and subdivisions and of the analysis of its results depending on the values of the parameters of the control system is given.
The paper considers the relevance of the work on the creation of radio‑transparent armor protection of radio engineering equipment. A typical design of multi‑layer ceramic armor is considered, the mechanism of interaction of external fire impact and armor protection is disclosed. The complexity of fulfilling the conflicting requirements for ensuring high resistance to fire impact, provided that the necessary radio characteristics are preserved and the mass and size parameters are minimized, is noted. Special engineering solutions have been proposed for meeting the indicated requirements, in particular, the use of compensatory grids in the structure of the material of radio‑transparent armor. A comparison of some ceramic materials and armor steel, using them as the basis of radio transparent armor, is given. The choice of a computing platform with a heterogeneous architecture, which allows the simultaneous use of modules with different architectures in different configurations, during the synthesis of radio‑ transparent armored materials, is substantiated.
The article considers the task of designing promising radio equipment. The classification of the components (elements) of the developed samples by their novelty (innovativeness) is given. They are divided into reuse components, which are characterized by minimal design risks, cost and time costs, into innovative (new) components, which have the highest risk of creation, high cost and time costs, but at the same time determine the progressiveness of the created radio engineering Means and on the combined components. The following is the statement of the problem of optimizing the layout of a sample of radio equipment during design by the criterion of «efficiency-cost». The generalized indicator for evaluating the effectiveness of radio equipment of stable functioning is substantiated, including private indicators of reliability, noise immunity, and also cost indicators. To solve this problem, a method of sequential analysis of options is proposed.
Due to the fact that the equipment of modern electric trains is functionally and technologically complicated, the relevance of creating airborne systems for predictive monitoring of the technical condition of trains to identify their actual and predicted technical condition is increasing. At present, it has not been possible to build automatic on-board systems for predictive monitoring of the technical condition of trains. One of the possible solutions to this problem can be considered the creation of on-board systems, the identification of the technical condition of equipment in which is carried out using neural network technologies. The article proposes a methodology for identifying the technical condition of electric train equipment using artificial neural network technologies, which allows real-time detection of the occurrence and development of malfunctions of electric train equipment with the display of information on the display in the driver’s cab. Taking into account the specifics of the problem being solved, the choice of a multilayer architecture of a direct distribution neural network is justified. All layers of the neural network are completely interconnected, while the number of neurons of the input and output layers of the network is determined, equal to the number of controlled parameters of the technical condition of the electric train and the number of its possible technical conditions, respectively. As a function of activation of network neurons, a logistic function was selected. A heuristic approach is used to train an artificial neural network.
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