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.
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