为提高自研“猫眼”探测系统的自动对焦性能,对主动激光图像散斑噪声、自动对焦窗口和视场变化三个对焦性能影响因素进行分析,分别提出了自动对焦改进算法及策略。实验证明,改进后,探测系统自动对焦性能明显提升,为探测系统后续预警提供了清晰准确的威胁目标激光图像。 In order to improve the autofocus performance of the self-researching cat’s eye detection system, the influencing factors of three focusing performance of active laser image speckle noise, auto-focus window and field of view are analyzed. An improved algorithm and strategy of autofocus are proposed respectively. The experiment proves that after the improvement, the performance of the AF system of the detection system is obviously improved, which provides a clear and accurate threat laser image for the follow-up warning of the detection system.