The traditional stationary target infrared simulation equipment has the shortcomings: single surface emissivity and unable to simulate the texture details of the target. In this paper, depending on the design of the emissivity of the coating, the simulation algorithm is used to simulate the infrared characteristics of the stationary target. After optimizing the simulation scheme, the effect of simulating the solid contour and detail texture characteristics of stationary target is achieved. It provides practical simulation materials for the development of infrared characteristic simulation equipment of stationary target.The simulation effect evaluation software is constructed through the evaluation method of image similarity. The simulation similarity results of infrared characteristics under different configuration schemes are given. The quantitative comparison and analysis about infrared characteristics of the simulated stationary target and real target is realized, which provides the evaluation basis for simulation effect.
KEYWORDS: Solar radiation models, Solar radiation, Radiative energy transfer, Sun, Process modeling, Heat flux, Thermal modeling, 3D acquisition, Infrared radiation
Regarding the radiation relationship between complex objects involved in the space environment, in this paper we use discrete coordinate method to calculate and analyze the coupled radiation-conduction heat transfer between complex objects. We simulate the heat conduction process by use of the finite volume method, and the overall temperature field is finally obtained. By comparing the calculation results of the program and Fluent software, the correctness of the coupled radiation-conduction heat transfer program is verified. The result shows that the radiation heat transfer between the targets could affect the temperature field under the conditions of self-emission and ambient radiation. And it also shows that an appropriate reduction of discrete points can reduce the calculation time and will not affect the calculation accuracy.
Infrared point source target recognition is the target recognition technology based on non-imaging time-domain signal characteristics of infrared detectors for small size or long distance targets. It has wide application prospects in many fields, such as industry and national defense. However, infrared point source targets recognition has become a recognized problem, because this kind of targets has less information and more interference factors. Therefore, the research on infrared point source target recognition has important theoretical and practical value. This paper proposed a mathematical construction method of infrared point source target signal .And through the modeling of sensor response and the verification of hardware-in-the-loop simulation experiment, a set of time-domain signal data for infrared point source target recognition method is generated. Then, by extracting several time–domain features, a nearest neighbor classification method based on feature weighting is proposed by combining the idea of mathematical model matching. At the same time, the influence of the uncertainty of the model itself on the recognition effect is considered. The result shows, using the sample data of point source target generated by simulation, the best recognition time of proposed methods is approximately 6-8 seconds, and the recognition accuracy rate is 64.6%-79.2%.
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