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Evaluation of tactical decision aid code predictions of FLIR range performance

机译:战术决策辅助代码对FLIR射程性能的预测评估

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Abstract: Tactical Decision Aid codes provide field prediction of maximum range of FLIR use using simplified local environmental parameter input. A series of experimental comparisons at sea using airborne operational FLIRs with an instrumented ship target have shown poor correlation of observed range with prediction for detection and recognition. Classification and recognition range in UFLR are found to be highly insensitive to radiosonde atmospheric profile data input. Previous work has addressed modeling of the average target to background contrast temperature difference and atmospheric propagation of contrast. This paper addresses the implementation of the MDTD and MRTD algorithms in the code. Comparisons are presented of the prediction accuracy of the UFLR TDA using the standard Moser/Hepfer algorithm and an adaptation of the Johnson criterion used in the NVEOL Ratches code. For the limited data set of the study a reduction of RMS prediction error is achieved using the NVEOL algorithm.!11
机译:摘要:战术决策辅助代码使用简化的局部环境参数输入来提供FLIR使用最大范围的现场预测。使用机载作战FLIR和仪器化的舰船目标进行的一系列海上实验比较显示,观测距离与检测和识别预测之间的相关性很差。发现UFLR中的分类和识别范围对无线电探空仪大气廓线数据输入高度不敏感。先前的工作已针对将平均目标建模为背景对比温度差和对比大气传播的问题。本文介绍了代码中MDTD和MRTD算法的实现。比较了使用标准Moser / Hepfer算法和NVEOL Ratches代码中使用的Johnson准则对UFLR TDA的预测精度的比较。对于研究的有限数据集,使用NVEOL算法可降低RMS预测误差。!11

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