Optimal design of TIR prism for the infrared target simulator based on DMD

Fang Liu; Dan Sun; Jiaobo Gao; Yawei Zheng; Yu Hu; Fang Zhang; Xicheng Wang

doi:10.1117/12.2247174

1 November 2016 Optimal design of TIR prism for the infrared target simulator based on DMD

Fang Liu, Dan Sun, Jiaobo Gao, Yawei Zheng, Yu Hu, Fang Zhang, Xicheng Wang

Proceedings Volume 10157, Infrared Technology and Applications, and Robot Sensing and Advanced Control; 101572W (2016) https://doi.org/10.1117/12.2247174
Event: International Symposium on Optoelectronic Technology and Application 2016, 2016, Beijing, China

Abstract

Overall structure of the infrared target simulator system and the principle of DMD are introduced. When DMD is on “open” state, all of the incidence light can rip into the pupil of the projection system. In addition, when it is on “close” state or “flat” state, all of the incident light can’t rip into the pupil of the projection system. Based on this principle, with a specific infrared target simulator, TIR prism with BaF2 as material is designed. And then, this design is improved by ZnSe material instead of BaF2. ZnSe transmission rate is very well in the range of 0.6 microns to 14 microns and the infrared target simulator in this project requires 3 to 5 microns and 8 to 14 microns wavelength. This material is hard and easy to be processed. The design idea and design process are introduced in details in this paper and angle parameters are obtained. To improve light utilization and image quality in infrared target simulator system, two types of thin film on TIR prism different surfaces are designed. One is high transmittance with incidence angle of 0° and 24°，the other is 55°. Finally, this scheme is simulated and optimized by Tracepro software. Approving results were acquired.

Citation Download Citation

Fang Liu, Dan Sun, Jiaobo Gao, Yawei Zheng, Yu Hu, Fang Zhang, and Xicheng Wang "Optimal design of TIR prism for the infrared target simulator based on DMD", Proc. SPIE 10157, Infrared Technology and Applications, and Robot Sensing and Advanced Control, 101572W (1 November 2016); https://doi.org/10.1117/12.2247174

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