变阈噪比优化机载IRST系统的探测概率包线
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摘要
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.
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.
引文
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[12] Kou R K, Wang H Y, Wu X M. Optimum threshold noise ratio of airborne infrared search and track system[J]. Acta Optica Sinica, 2017, 37(3): 0304001. 寇人可, 王海晏, 吴学铭. 机载红外搜索跟踪系统的最佳阈噪比[J]. 光学学报, 2017, 37(3): 0304001.
[2] Qi M. Detection probability of IR search and track system[J]. Laser & Infrared, 2004, 34(4): 269-271. 祁蒙. 红外搜索跟踪系统的探测概率研究[J]. 激光与红外, 2004, 34(4): 269-271.
[3] Chen L, Wu Z B, Wang Z X. Research on the critical detection probability of optic-electric tracking systems[J]. 2012, 34(7): 182-189. 陈黎, 武兆斌, 王中许. 光电跟踪系统临界探测概率研究[J]. 计算机工程与科学, 2012, 34(7): 182-189.
[4] Mao X, Chang L,Diao W H. Estimation for detection probability of infrared point target under complex backgrounds[J]. Journal of Beijing University of Aeronautics and Astronautics, 2011, 37(11): 1429-1434. 毛峡, 常乐, 刁伟鹤. 复杂背景下红外点目标探测概率估算 [J]. 北京航空航天大学学报, 2011, 37(11): 1429-1434.
[5] Kou T, Wang H Y, Wu X M, et al. Detection probability envelope of airborne photoelectric system in complex condition[J]. Acta Optica Sinica, 2016, 36(3): 0304002. 寇添, 王海晏, 吴学铭, 等. 复杂环境下机载光电系统探测概率包线研究[J]. 光学学报, 2016, 36(3): 0304002.
[6] Wang L, Yu L, Kou T, et al. Research on optimum operating point and detection probability envelope of airborne IRST system[J]. Infrared and Laser Engineering, 2016, 45(5): 0504006. 王领, 于雷, 寇添, 等. 机载IRST系统最佳工作点及探测概率包线研究[J]. 红外与激光工程, 2016, 45(5): 0504006.
[7] Kou T, Zhou Z L, Liu H Q, et al. Correlation between infrared radiation characteristic signals and target maneuvering modes[J]. Acta Optica Sinica, 2018, 38(2): 0204003. 寇添, 周中良, 刘宏强, 等. 红外辐射特征信号与目标机动模式的相关性[J]. 光学学报, 2018, 38(2): 0204003.
[8] Xie G Y. Noise analysis for optoelectronic detector[J]. Information Technology, 2008, 32(11): 8-10. 解光勇. 光电探测器噪声特性分析[J]. 信息技术, 2008, 32(11): 8-10.
[9] Zhu B, Hu W, Deng K, et al. Research on detection probabilities of multi-band optical detection systems[J]. Journal of University of Electronic Science and Technology of China, 2008, 37(3): 339-342 朱彬, 胡伟, 邓科, 等. 多波段光学探测系统的探测概率研究[J]. 电子科技大学学报, 2008, 37(3): 339-342
[10] Wu H P. Infrared search system[M]. Beijing: National Defense Industry Press, 2013: 217-239. 吴晗平. 红外搜索系统[M]. 北京: 国防工业出版社, 2013: 217-239.
[11] Wang H Y. Infrared radiation and application[M]. Xi′an: Xidian University Press, 2014: 40-51. 王海晏. 红外辐射及应用[M]. 西安: 西安电子科技大学出版社, 2014: 40-51.
[12] Kou R K, Wang H Y, Wu X M. Optimum threshold noise ratio of airborne infrared search and track system[J]. Acta Optica Sinica, 2017, 37(3): 0304001. 寇人可, 王海晏, 吴学铭. 机载红外搜索跟踪系统的最佳阈噪比[J]. 光学学报, 2017, 37(3): 0304001.