Assessment of anti-jamming capabilities in infrared-guided missile systems

Abstract

Missiles possess immense destructive power and play a decisive role in determining military strength in conflicts. Existing research predominantly focuses on the guidance system level, evaluating missile anti-jamming performance based on the overall missile system and often using anti-jamming probability as the sole metric. However, this approach lacks systematic investigation into the anti-jamming process. To address this gap, this paper establishes a multi-level evaluation system for infrared guided missile, analyzing the missile overall system, guidance system, seeker, and external environment. By employing the Fuzzy Analytic Hierarchy Process (Fuzzy AHP), weight coefficients for each component are calculated using a fuzzy judgment matrix, enabling a comprehensive evaluation and the construction of a multi-level evaluation index system. Simulation experiments were conducted to validate the model’s effectiveness. Using the Latin Hypercube Sampling (LHS) algorithm, approximately 1,000 scenarios capturing the essential characteristics of missile anti-jamming were generated, reducing computational time by around 80% while maintaining accuracy. Experimental results demonstrated a recognition probability exceeding 85% and average miss distances within acceptable limits. Both static and dynamic validation confirmed the model’s robustness, proving its ability to accurately predict missile anti-jamming performance under various conditions. This study provides a solid foundation for future research and improvements in missile anti-jamming systems.