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SFU Unveils World's First Anti-Drone Rifle and Detection Training Simulator

Featuring realistic device replicas, signal modeling, educational modules, scenario-based tests, the platform delivers cost-efficient initial training ahead of live exercises

Overview

  • A student team at Southern Federal University has deployed the world’s first operational virtual simulator for anti-drone rifles and detection systems
  • The Unreal Engine–based training range includes exact digital replicas of Pars and Harpy rifles, the Bulat v3 detector, and target drones from FPV quadcopters to military-grade Leleki-100
  • Radio signals, GPS interference and device behavior are modeled in real time to replicate the conditions of a live training ground
  • The curriculum combines theoretical lessons, quizzes and video-based scenario tests to build decision-making skills under pressure
  • Military expert Yuri Lyamin praises its cost efficiency for foundational skill development and recommends follow-up live-fire drills and VR-enhanced exercises