METHODS OF SYNTHESIS OF RECONNAISSANCE AND FIRE SYSTEMS

Abstract

The article proposes an algorithm for the synthesis of reconnaissance and fire systems. Which allows you to justify the need for weapons samples for the completion of subsystems of fire damage and reconnaissance of the specified systems. The essence of the algorithm is to organize the stages of determining the need for weapons samples to ensure the effective functioning of reconnaissance and fire systems. The advantage of the algorithm is that it allows you to take into account the stability of functioning and the capabilities of each type of weapon based on the tasks that rely on the reconnaissance and fire system. This ensures the optimal distribution of weapons and prevents overspending of resources. At the same time, the algorithm is universal and ensures work with all types of means of fire damage and reconnaissance that are in service in the missile forces and artillery of the Armed Forces of Ukraine, taking into account those that are being modernized or developed, as well as those that come as aid from Western countries - partners. In addition to the fact that the proposed algorithm determines the need for weapons when creating new reconnaissance and fire systems, taking into account the given degree of task performance, it also allows determining the degree of performance of assigned tasks, taking into account the available forces and means. The algorithm is based on an improved method of nonlinear programming (two functions), which allows you to take into account both the heterogeneity of types of weapons and military equipment, and the heterogeneity of targets. The improvement consists in determining the "weight" of the types of fire weapons depending on the "weight" of the targets to be hit they are involved. And in the future, normalized fractions of this "weight" are used as weighting coefficients. This makes it possible to justify the need for weapons samples taking into account the given level of performance of the assigned tasks. The defined algorithm allows taking into account the nonlinearity of the functions that describe different types of weapons and targets.