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  5. The cyclic model of destruction enemy target

The cyclic model of destruction enemy target

S. Kibitkin, B. Ivashchuk, M. Tokatly, O. Galepa, О. Boiarchukov
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Description: The cyclic model of destruction enemy target is proposed in this article, and also improving it by applying the modern optoelectronic systems of air reconnaissance. The purpose of the article is exploring modern means of leading air reconnaissance with the using of the cyclic model of destruction enemy target. The air reconnaissance can find enemy troops and their position when they moving in short term. And also, air reconnaissance can determine a location of fire positions, artillery, command posts, ,radio electronic and other means. In conditions of technical progress, the air reconnaissance occupies one of the most important place of doing special tasks for structures, which it needs. The digital imagines start to dominate during the leading of air reconnaissance. A development of automatic managed systems and means of communication for broadcasting information gives an ability to raise an efficiency at doing combat tasks. The success of doing combat tasks depends on the efficiency at leading air reconnaissance and getting at reliable information The proposed cyclic model of destruction enemy target, allows us to quantify and compare the weapons complexes with relation to the efficiency at their applying by appropriate units. The development of the new technologies leads to improving tactical and technical characteristics of systems, that raise the efficiency at the cyclic model of destruction enemy target.


Keywords: аir surveillance, air reconnaissance, unmanned aerial vehicle, digital optoelectronic systems, cyclic model of destruction enemy target, efficiency

Reference:
Kibitkin, S.O., Ivashchuk, B.M., Tokatly, M.V., Halepa, O.H. and Boiarchukov, O.S. (2018), “Tsyklichna model znyshchennia tsili protyvnyka” [The cyclic model of destruction enemy target], Systems of Arms and Military Equipment, No. 1(53), pp. 137-142. https://doi.org/10.30748/soivt.2018.53.19.