Abstract:
Novice pilots in formation flight operations often struggle with low mission success rates and survivability, emphasizing the need for an effective training solution. This study presents the development of an advanced virtual training simulator designed to enhance pilot performance through an immersive and interactive environment. The proposed system integrates a high-fidelity flight simulator, tactical threat scenarios, and electronic warfare (EW) signal modeling.
Utilizing Mixed Reality (MR) technology, the training system combines virtual and real-world elements to provide a realistic and engaging experience. Pilots train with actual flight controls and instruments within a simulated cockpit, accurately replicating aircraft behavior, flight dynamics, and tactical maneuvers. The system enables pilots to improve formation flying, threat response, and decision-making in complex operational environments.
A key component of the simulator is EW integration, which allows pilots to experience realistic radar threats, jamming signals, and electronic countermeasures. By leveraging commercial modeling and simulation (M&S) software, the system generates adversary scenarios that closely resemble real combat situations. Additionally, the tactical threat scenarios analyze enemy threat levels and operational areas, providing critical mission planning data. The system also prepares pilots for unavoidable in-mission events, ensuring effective decision-making under high-risk conditions.
The simulator records flight operations, tactical decisions, and EW threat responses in a structured database. This data-driven approach enables adaptive training by tailoring threat scenarios to individual pilot performance, addressing specific strengths and weaknesses.
This study presents the methods and processes for modeling adversary threat scenarios. By incorporating tactical and EW threat data, the proposed simulator improves mission success rates and pilot survivability, providing an effective training solution for modern air combat operations.
Keywords: AI;ELECTRONIC WARFARE;IMMERSIVE;M&S
