A.S. Kuznetsov1, M.N. Ushkar2

1,2 Moscow Aviation Institute (National Research University) (Moscow, Russia)

One of the main types of payload of unmanned aerial vehicles (UAV ) is a multifunctional air-borne radar. The small carrying capacity of light and medium UAVs requires minimization of weight and size characteristics and limitation of power consumption of radar. In addition, during designing of the radar it is necessary to take into account its cost and the requirements of the reducing of the cost spending and time spending of the development as well. The main way to reduce the cost of development of the device is the maximum possible using of ready-made modules (RMM). In this case, the design task is solving the problem of covering the components parts of the designed product with ready-made modules, which makes possible to form a constructive basis of the radar. By now, the large amount of intellectual information of the already produced RMMs has been accumulated by enterprises and this volume is growing constantly, that leads to increasing of the number of alternative sets of RMMs, that meet the requirements of functional parameters, but differ in design and cost parameters.

In this regard, the task arises of choosing the preferred option of the kits of RMMs that best meets the requirements of the technical task. The solving of this problem, which is based on a comparative quantitative assessment of alternative options of the kits of RMM in order to select the preferred option is considered in this article.

The classificator of modules was developed for the practical implementation of the considered task. This classificator includes: a database formed on the basis of the MSSQL Server DBMS, a soft-ware module of generating alternative RMM kits, and a software module that performs the functions of a multilayer perceptron.

The generation of alternative kits of RMM is carried out by using the mathematics of multipartite graphs, which allows to move from specific schemes to their mathematics description and to analyze kits of modules using computer simulation. The artificial neural network of the multilayer perceptron type carry out determination of the value of the generalized preference criterion and the classification of kits of RMMs.

The article, as an example, considers the application of the proposed methodology for the formation of the initial constructive basis of the radio frequency module of the Ku-band radar. The pro-posed method allows, already at the early stages of design, to form an acceptable constructive basis of airborne radar with the maximum possible using of the RMMs.

The use of this method gives the opportunity to reduce the time and cost costs for designing of the radar and to determine kits of modules that have minimum values of the of design, operational and economic parameters of each generated kits and rank them in order to select the preferred option.

Kuznetsov A.S., Ushkar M.N. Methodology for forming a constructive basis for on-board radars of UAVs. Achievements of modern radioelectronics. 2023. V. 77. № 9. P. 51–62. DOI: https://doi.org/10.18127/j20700784-202309-06 [in Russian]

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