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

机译:通过新设计的转换方法对Heliborne FLIR系统进行现场性能评估

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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:已经建立了HFLIR(Heliborne FLIR)系统的现场性能转换方法,以对其检测和识别范围进行合理评估。根据具有约翰逊准则的现场性能模型,得出影响HFLIR性能的影响因素如下:条形目标尺寸,目标中黑白之间的温度差,大气透射率(可见度,大气)温度和湿度),背景温度以及系统MRT要求中的不稳定性。然后,考虑到这些因素,建立了测试和评估程序,从而实现了从真实测试条件下的性能到评估标准的转换过程。借助这种方法,已对S-LYNX,UH-60和HH-47直升机上的HFLIR的现场性能(检测和识别范围)进行了测量和合理评估,以检查其性能是否满足能力要求(鹏)。至于S-LYNX上的HFLIR,与测量范围相比,转换后的检测范围和识别范围被证明分别延长了+ 10%和-9.2%。结果表明,UH-60上的HFLIR的测量值分别比实测值好+ 6.2%和+ 12.4%,而HH-47上的HFLIR的测量结果表明,转换率分别为+ 0.4%和+ 1%。当然,转换后的范围与实测范围之间的差异来自测试日和ROC的实际天气条件的差异。这种方法给出了公正合理的判断,对于在实验误差范围内测量值与ROC值可比的情况可能非常有用

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