Based on the principle of infrared target system, the emissivity and reflectivity of the coating material of the target plate of the infrared target system are studied in depth. The relationship between the emissivity, reflectivity and light wavelength of the target is discussed in this paper. First, 50 target plates are selected and the diffuse reflectance of 1.06 μm laser is measured. The experimental results show that the minimum reflectivity is 0.202 and the maximum reflectivity is 0.217, which is in the range [0.2,0.3]. The average value of reflectivity is 0.20886, and the measurement error is in the range [-0.00686, 0.00814]. Then, the non-uniformity value of each measured value is calculated, the maximum value is 3.89%, less than 7.5%. Finally, the emissivity of the coating material is measured in the wavelength range of 2.5 μm ~ 13.5 μm, and the minimum value is 0.869, better than 0.7. At the same time, four kinds of coating materials are compared and the results show that the coating materials in this paper had higher emissivity. The infrared target system can model all kinds of infrared targets, which provides a method for target attack experiment.
KEYWORDS: Computer programming, Moire patterns, Error analysis, Signal processing, Diffraction gratings, Fringe analysis, Human-machine interfaces, Digital signal processing, Signal analyzers, Signal detection
Aiming at the problem of any fault and wrong code in the practical application of photoelectric shaft encoder, a fast and accurate encoder fault analysis system is researched from the aspect of Moire fringe photoelectric signal processing. DSP28335 is selected as the core processor and high speed serial A/D converter acquisition card is used. And temperature measuring circuit using AD7420 is designed. Discrete data of Moire fringe error signal is collected at different temperatures and it is sent to the host computer through wireless transmission. The error signal quality index and fault type is displayed on the host computer based on the error signal identification method. The error signal quality can be used to diagnosis the state of error code through the human-machine interface.
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