温变环境下优化机载IRST系统探测包线研究
Detection probability envelope of airborne IRST system after environment temperature changing optimization
王芳 1王薇 1王海晏 1寇人可2
作者信息
- 1. 空军工程大学航空工程学院,陕西西安 710038
- 2. 陆军工程大学石家庄校区,河北石家庄 050003
- 折叠
摘要
基于目前温度变化对机载红外搜索跟踪(IRST)系统探测距离的影响,建模分析了系统探测流程中目标与背景辐射对比度、大气透过率、光学系统、探测器性能随温度的变化情况,基于此提出了依据温度变化设置探测系统阈噪比的思想,且给出了具体设置算法.进一步仿真对比了优化阈噪比与传统恒定阈噪比条件下的探测概率包线,结果表明,前者的探测包线明显增大,说明依据温度设置阈噪比的方法可以显著提高IRST的探测性能.
Abstract
According to the current influence of temperature changes on the detection range of airborne infrared search and tracking(IRST)systems,the changes of target and background radiation contrast,atmospheric transmittance,op-tics,and detector performance with temperature in the detection process of the system are modeled and analyzed.Based on this,the idea of dynamically setting of the threshold noise ratio according to the temperature change is pro-posed,and the specific setting algorithm is given.The detection probability envelope under the optimized threshold-to-noise ratio and the traditional constant threshold-to-noise ratio conditions is further simulated and compared,and the results show that he detection envelope of the former increases significantly,indicating that the method of setting the threshold-to-noise ratio according to the temperature can significantly improve the detection performance of IRST.
关键词
温度/阈噪比/探测概率包线Key words
temperature/variable threshold noise ratio/detection probability envelope引用本文复制引用
出版年
2024
NETL
NSTL
万方数据