INTELLIGENT SYSTEM FOR ENSURING UAV SWARM FLIGHT UNDER JAMMING AND THE IMPACT OF ENEMY COUNTER-DRONE SYSTEMS

Abstract

This article addresses the critical and timely task of employing strike FPV drones in kamikaze mode to neutralize enemy counter-unmanned aerial systems (C-UAS), trench-based electronic warfare systems (EWS), and disrupt enemy logistics within a tactical range of 1 to 50 kilometers. Given the increasing sophistication of adversarial countermeasures, such as jamming and interception systems, this study emphasizes the need for a robust and adaptive approach to ensure the operational effectiveness of kamikaze drones in highly contested environments. The study proposes a comprehensive algorithm for UAV flight operations that integrates multiple protection strategies against various threats, including C-UAS systems, EWS, tactical missile systems (TMS), and advanced radar systems. The flight mode mimics that of a cruise missile, maintaining low-altitude trajectories (1–20 meters) to evade detection and mitigate the effects of enemy countermeasures. The low-altitude profile also enables obstacle avoidance, critical for terrain navigation in complex battlefield conditions.

A key contribution of this work is the development of a novel approach to utilizing intelligent systems (IS) to maximize the operational range of FPV kamikaze drones. These systems are designed to function effectively under adversarial jamming conditions, the absence of satellite navigation, and the inherent limitations of inertial navigation systems. The proposed methodology ensures high mission accuracy, achieving target precision within +0.2 meters, even at ultra-low altitudes of 0.5 to 2 meters.

To achieve these results, the paper introduces an integrated IS-based optimization framework that evaluates and adjusts flight parameters in real time. The optimization criteria include maintaining an uninterrupted line-of-sight for signals, ensuring high-quality data transmission with minimal delay, enhancing resistance to electronic jamming, selecting optimal frequency bands (7 GHz to 38 GHz), and stabilizing UAV flight dynamics. Advanced on-board capabilities such as real-time wave propagation analysis, electronic countermeasure assessment, visual odometry, obstacle avoidance, and horizontal flight stabilization form the backbone of the proposed approach. These innovations collectively enable the drones to execute their missions with maximum efficiency, even in highly adverse conditions. The study also outlines key technical requirements for next-generation unmanned aerial systems (UAS) to enhance their resilience and operational efficiency, paving the way for further advancements in drone-based tactical operations.