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Proceedings Paper

Optimal visual simulation of the self-tracking combustion of the infrared decoy based on the particle system
Author(s): Qi Hu; Jin Duan; LiNing Wang; Di Zhai
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Paper Abstract

The high-efficiency simulation test of military weapons has a very important effect on the high cost of the actual combat test and the very demanding operational efficiency. Especially among the simulative emulation methods of the explosive smoke, the simulation method based on the particle system has generated much attention. In order to further improve the traditional simulative emulation degree of the movement process of the infrared decoy during the real combustion cycle, this paper, adopting the virtual simulation platform of OpenGL and Vega Prime and according to their own radiation characteristics and the aerodynamic characteristics of the infrared decoy, has simulated the dynamic fuzzy characteristics of the infrared decoy during the real combustion cycle by using particle system based on the double depth peeling algorithm and has solved key issues such as the interface, coordinate conversion and the retention and recovery of the Vega Prime’s status. The simulation experiment has basically reached the expected improvement purpose, effectively improved the simulation fidelity and provided theoretical support for improving the performance of the infrared decoy.

Paper Details

Date Published: 27 September 2016
PDF: 6 pages
Proc. SPIE 9684, 8th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test, Measurement Technology, and Equipment, 968413 (27 September 2016); doi: 10.1117/12.2242559
Show Author Affiliations
Qi Hu, Changchun Univ. of Science and Technology (China)
Jilin Business and Technology College (China)
Jin Duan, Changchun Univ. of Science and Technology (China)
LiNing Wang, Jilin Univ. (China)
Di Zhai, Public Security of Jilin Province (China)


Published in SPIE Proceedings Vol. 9684:
8th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test, Measurement Technology, and Equipment
Yudong Zhang; Fan Wu; Ming Xu; Sandy To, Editor(s)

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