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Field performance evaluation for Heliborne FLIR systems by newly devised conversion methodology

机译:新设计转换方法的Heliborne Flir系统的现场性能评估

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The conversion methodology for field performance of HFLIR (Heliborne FLIR) systems has been in phenomenon established to get reasonable evaluation for its detection and identification ranges. On the basis of the field performance model with Johnson criterion, the contribution factors affecting on the HFLIR performance are derived as follows: the bar target size, the temperature difference between the black and white in target, the atmospheric transmittance (the visibility, the atmospheric temperature and the humidity), the background temperature, and the instability in the system MRT requirement. Then, by considering those factors, the test and evaluation procedures are set up where the conversion process from the performance measured under real test condition to that at the evaluation criterion is implemented, which is newly devised in this paper. With the help of this methodology, the field performances (the detection and recognition ranges) of HFLIRs on S-LYNX, UH-60 and HH-47 helicopters have been measured and reasonably evaluated to check whether or not their performances meet the requirement of capability (ROC). As for the HFLIR on S-LYNX, the converted detection and recognition ranges are proved to be elongated respectively +10% and -9.2%, compared with the measured ranges. They for the HFLIR on UH-60 turn out to be respectively better +6.2% and +12.4% than the measured ones, and they for HFLIR on HH-47 show performances with conversion rate of +0.4% and +1%. The difference between the converted and the measured ranges, of course, comes from the difference in the real weather conditions at test day and at ROC. This methodology gives so fair and reasonable judgment that it may be very useful for the case that the measured values are comparable to those at ROC within the experimental error
机译:HFLIR(Heliborne FLIR)系统的用于场性能的转换方法已经成立起来,以获得其检测和识别范围的合理评估。在与约翰逊标准的现场性能模型的基础上,影响HFLIR性能的贡献因素如下:栏杆目标尺寸,靶标在靶标中的温度差异,大气透射率(可见性,大气温度和湿度),背景温度和系统MRT要求中的不稳定性。然后,通过考虑这些因素,建立了测试和评估程序,其中实现了在实际测试条件下测量到评估标准的性能的转换过程,在本文中进行了新设计。在该方法的帮助下,已经测量了S-Lynx上的Hflirs,UH-60和HH-47直升机的现场表演(检测和识别范围),并合理地评估了它们的性能是否满足能力的要求(鹏)。对于S-LYNX上的HFLIR,与测量范围相比,转换后的检测和识别范围被证明分别伸长+ 10%和-9.2%。它们在UH-60上为HFLIR转出,分别比测量值更好+ 6.2%和+ 12.4%,它们在HH-47上的HFLIR显示转化率+ 0.4%和+ 1%的性能。当然,转换和测量范围之间的差异来自测试日和ROC的真实天气条件的差异。这种方法提供了如此公平合理的判断,即对测量值与实验误差内的ROC的情况相当可能是非常有用的

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