Executive Summary
This study develops a set of models for planning massive attack missions using drone swarms in hybrid warfare scenarios. It outlines a systematic approach for military actions, including target selection, combat potential assessment, and the use of simulator drones to deplete enemy resources. The methodology aims to integrate air and ground combat operations for enhanced effectiveness against anti-drone threats.
Why It Matters
This document is crucial for defense analysts as it provides a detailed modeling framework for planning and executing complex drone swarm attack missions, directly addressing challenges in modern hybrid warfare and anti-drone environments. It offers insights into optimizing resource allocation and tactical decision-making for drone operations.
Key Takeaways
- The study proposes a comprehensive set of models for planning multi-stage drone swarm attack missions, covering target selection, combat potential, and wave attacks.
Source evidence · PDF page 1
The purpose of this study is to create a set of models that enable planning massive attacks by attack drones. Tasks to be solved: to form a sequence of military actions for an attack mission; to justify the choice of local military zones for an attack; to form the combat potential of a swarm of drones; to justify the use of simulator drones to deplete enemy resources; to form waves of a swarm of attack drones; to model the movement of the swarm to the targets.
- It details the use of simulator drones to distract and deplete enemy air defense, electronic warfare, and air defense resources prior to a main attack.
Source evidence · PDF page 8
Therefore, in this section, the task of forming a swarm of simulator drones to be used before conducting an attack mission by a swarm of strike drones was set and solved. The main indicators for assessing the effectiveness of using a swarm of imitator drones were as follows: - number of simulator drones required to form a swarm; - the impact of a swarm of imitator drones on the depletion of enemy resources (air defense, electronic warfare, air defense).
- The methodology integrates qualitative expert assessments with quantitative optimization techniques to adapt to dynamic battlefield conditions and limited drone capabilities.
Source evidence · PDF page 16
The proposed set of models allows us to substantiate the sequence of combat operations with the help of a swarm of attack drones; to substantiate military local zones for an attack mission, taking into account the enemy's activity; to form the necessary set of imitator drones to conduct distractions and deplete the enemy's resources; to substantiate the combat potential of a swarm of attack drones; and to estimate the required number of attack waves under the conditions of enemy anti-drone actions.
Strategic Relevance
The research offers a strategic framework for integrating advanced drone swarm tactics into military operations, enhancing offensive capabilities while mitigating enemy anti-drone measures. This directly impacts operational planning and resource allocation in contemporary and future conflicts.