The range analysis of the infrared detection system is the first task in the design of the detection system. The traditional range model based on the signal-to-noise ratio is only suitable for a uniform background. For complex backgrounds, the fluctuation of background clutter is the main factor restricting the detection distance, and the results based on the signal-to-noise ratio model may deviate greatly from the actual situation. Based on the characteristics of the re-entry process, this paper analyzes the dynamic process, and establishes an infrared detection distance analysis model based on the signal-to-clutter ratio. The radiation flux between the background and the target is calculated, and the infrared detection band selection is simulated. On this basis, the analysis and calculation of the infrared detection distance under different cloud conditions are carried out, and the similarities and differences between the signal-to-noise ratio model and the signal-to-clutter ratio model are compared, which can provide references for the design of infrared detection systems in practical applications.
In this paper, a temperature control method of flexible composite film was proposed based on porous adsorption principle and phase change materials blending technology, the flexible composite film samples were developed accordingly, and the temperature control performance was tested experimentally. It was shown by the test results, the phase change of flexible composite film can be applied to a wide temperature range of 23-55 ℃, and also conducted heat well.
Based on LOS method ,combined with DSMC, the particle clouds movement model and the optical radiation transmission model were established, the dynamic radiation performance and transmittance of particle clouds in space within medium wave and long wave were analyzed accordingly, the results showed that the heat flux in space has a certain influence on the particle clouds radiation, but not on the extinction obviously; when the number density of particle clouds was greater than 1x107 , the transmittance of particle clouds in medium wave and long wave was less than 10%.
In view of the lack of precision and small dynamic range in one or two-point temperature nonuniformity correction method which is applied in the Space Infrared Image, this paper will introduce the technique of discrete wavelet transform which is applied to the non-uniformity correction. In addition, it is used the real-time infrared image processing method of removing blind pixels, invalid pixels and additive noise with using ground calibration parameters and deep space images. It is designed the infrared image processing method applied to the flight that the multiplicative noise in infrared image is turned into additive noise using the logarithm aimed at the characteristic of noise distribution.
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