Dr. Zhisong Cao Profile

Dr. Zhisong Cao

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Proceedings Article | 9 October 2018 Presentation + Paper

The IR modeling and simulation of the orbit target with celestial background

Dongxing Tao, Yuan Yuan, Boying Lin, Yanqiang Bi, Yonghong Shang, Zhisong Cao, Jing Wang

Proceedings Volume 10794, 107940R (2018) https://doi.org/10.1117/12.2325475

KEYWORDS: Target detection, Satellites, Monte Carlo methods, Infrared radiation, Solid modeling, Sensors, Reflection, Data modeling, Computer aided design, Inverse problems

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Orbit target IR model can be used to design orbit target detection sensor, generating simulation data to validate the data processing algorithms, such as the target detection and tracking. In the work, a novel orbit target IR model is built. IR detection uses the difference between the target and the background to achieve the target effectually. In order to increase the application ability, the IR model consists of the orbit target and the celestial background. The geometry module and IR radiometric module make up the orbit target IR model. The professional geometry modeling software CAD is used to build the geometry model. The reflection between the subassembly is considered in the radiometric, because the thermal control coat of the satellite (such as optical solar reflector) has very high specular reflectance generally. The Midcourse Space Experiment (MSX) catalog is used to calculate the IR celestial IR background. The IR radiation provided by the MSX is used to calculate the equivalent temperature and the observation angle by the SPSO (Stochastic Particle Swarm Optimization) method. The transfer algorithm adopted in this paper is compared with the Monte-Carlo method, and the results show that the relative deviation between them is less than 10%.

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