Abstract

The kill zone is the main characteristic of the surface-to-air missile system, which characterizes, firstly, the combat capabilities of the system to hit targets of various types, and secondly, the energy capabilities of surface-to-air missiles to achieve targets, taking into account detailed calculation of the shape of the kill zone of the surface-to-air missile system is a time-consuming process, which without proper automation leads to unjustified time to perform. This article proposes a method of using a genetic algorithm with multicriteria optimization to automate the calculation of the kill zone of the surface-to-air missile system. The essence of the proposed technique is to find a set of pareto-optimal trajectories of a surface-to-air missile, the endpoints of which are the limit in terms of the ability to reach the aerial target with the necessary motion parameters and taking into account the range of target detection by fire-control radar of surface-to-air missile system. That is, one of the coordinates (the altitude or distance) of the boundary point can not be improved without the reducing of the other coordinate (the principle of pareto-optimality). This approach allows in the early stages of design to evaluate the kill zone of the surface-to-air missile system, being at design, and promptly implement effective technical solutions to increase its tactical and technical characteristics. Additional results of the calculation of the kill zone of the surface-to-air missile system according to the proposed method are data on the optimal launch angles of the surface-to-air missile, which can be taken into account when designing the launcher of the system, as well as data highlighting some features of surface-to-air missile flight.

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