基于机载红外搜索跟踪(IRST)系统噪声源的特点,建立了一种探测概率模型,分析了探测过程中阈噪比对探测概率、虚警概率的影响。基于作战背景,分析了探测距离、目标速度、作战环境对探测概率的影响。在探测过程中动态设置阈噪比,给出了具体求解方法,并对不同任务需求下的阈噪比取值范围进行仿真分析。利用求解的阈噪比值,仿真得出了变阈噪比情形下的探测概率包线。研究结果表明,与恒定阈噪比方法相比,采用变阈噪比求得的概率包线能够适应实时变化的空战条件,普适性更强,探测距离明显增大。

Based on the characteristics of the noise source of airborne infrared search track (IRST) system, the detection probability model is established, and the effect of the threshold noise ratio (TNR) on the detection probability and the false alarm probability is analyzed in the detection process. The influences of the detection distance, target speed and combat environment on the detection probability are also analyzed based on the combat background. The dynamically setting of TNR in the process of detection is proposed and the specific solving method is presented. The value ranges of TNR are simulated under different mission requirements. With the solved TNR, the TNR-variable detection probability envelope is obtained. The research results show that compared with that by the method with a constant TNR, the detection probability envelope obtained by the TNR-variable method can adapt to the real-time change of air conditions, has a greater universality and a larger detection range.