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.
The solar stray light will seriously affect the imaging quality of the infrared detection system. The traditional point source transmittance (PSF) index is difficult to evaluate the image degradation of the detection system due to stray light. In this paper, a stray light simulation is performed firstly for a given infrared detection system, and the irradiance distribution of solar stray light on the surface of the detector with different incident angles are obtained. Then a simulation model of the detection system is established based on the physical conversion process of the infrared detection system. By combining this simulation model with the light distribution, the spatial noise of the detection system with solar stray light can be calculated quantitatively, and the image degradation due to solar stray light can be quantitatively evaluated.
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