With the continuous improvement in the guidance accuracy and maneuverability of infrared-guided air-to-air missiles, combat aircraft find it increasingly difficult to effectively evade the risk of infrared missile hits through maneuvering avoidance or single infrared countermeasures alone. Composite infrared countermeasures have thus become a critical means to ensure aircraft survivability. Addressing the challenge of airborne terminal composite infrared countermeasures, this study proposes an intelligent decision-making method based on an improved proximity strategy optimization algorithm. Starting from the terminal airborne countermeasure scenario, this study analyzes the decision constraints faced by combat aircraft under infrared-guided missile attacks. It establishes models for infrared decoy missiles and laser directional jammers, proposing a dynamic asymmetric trimming mechanism to overcome the limitations of fixed trimming parameters, thereby enhancing convergence efficiency and solution quality. Building upon this foundation, a reward function integrating jamming means characteristics is designed, incorporating overuse penalties and ineffective use penalties to achieve a reasonable balance between jamming effectiveness and resource consumption. Simulation results demonstrate that the intelligent decision-making method for infrared composite jamming can organize infrared jamming measures in a reasonably coordinated manner, exhibiting excellent performance under various typical aircraft-missile confrontation scenarios. Compared with the original near-end strategy optimization algorithm, the flexible action-evaluation algorithm, and the preset rule-based method, it shows significant advantages in metrics such as aircraft survivability, missile miss distance, and resource utilization efficiency, demonstrating good application value.
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