RADIOELECTRONIC AND COMPUTER SYSTEMS

The rapid growth of innovation in modern warfare has led to the need to consider the enemy's ability to build defenses using modern anti-drone measures when planning offensive missions with strike drones. Therefore, researching preventive actions is relevant when planning a massive attack aimed at overcoming obstacles to the movement of strike drones to enemy targets. The publication focuses on the development of analytical and simulation models to plan an attack while minimizing the risks posed by enemy anti-drone actions. The goal of this research is to develop a set of mathematical and simulation models for planning the movement of a swarm of attack drones under active enemy countermeasures. The tasks that need to be solved are as follows: systematically analyse actions for planning an attack mission in conditions of dynamic changes in the battlefield; select a subset from a set of relevant enemy targets for attack; create the required number of strike drones for attack in conditions of limited capabilities; create confusing trajectories for strike drones to successfully hit enemy targets; develop an algorithm for forming a flight route with minimal risk of drones being shot down (lost); and create a simulation model to simulate the movement of a swarm of strike drones towards targets under active enemy countermeasures. Mathematical methods and models used: system analysis to create a logical sequence of actions for conducting an attack with strike drones; qualitative and quantitative assessment of the characteristics of possible enemy targets; lexicographic ordering of options for selecting a subset of relevant enemy targets; integer (Boolean)  to calculate the number of strike drones that will be involved in the attack; agent-based simulation modeling to form the movement of strike drones in enemy countermeasure conditions. The following results were obtained: a proposed systematic representation of the planning of an attack mission with strike drones under conditions of dynamic changes in circumstances on the battlefield; a justified selection of a subset of relevant targets for a massive attack; the required number of attacking drones was calculated under conditions of limited capabilities; an algorithm was developed to create a route for strike drones with minimal flight risks; and an agent-based model was created to simulate the flight of a swarm of strike drones for various scenarios of active countermeasures by the breacher. Conclusions: The results of the study provide a scientific basis for developing a plan for an attack mission by a swarm of strike drones under active enemy countermeasures, thereby facilitating the integration of air and ground combat operations and enabling the successful execution of the planned military operation. The novelty of the proposed approach lies in the scientific justification of the plan for an attack mission using strike drones in the face of active enemy countermeasures and dynamic battlefield conditions, supported by a developed set of original analytical and simulation models.

attack drone swarm; attack mission; current enemy targets; minimization of drone movement risks; optimization of the number of attack drones; simulation-based multi-agent modeling of attack drone movement

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