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5 November 2020 Optical-digital joint optimization of infrared search and track systems
Feng Zhou, He Chen, Tao Chen, Xiaolong Wang
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Proceedings Volume 11563, AOPC 2020: Infrared Device and Infrared Technology; 115630N (2020) https://doi.org/10.1117/12.2580133
Event: Applied Optics and Photonics China (AOPC 2020), 2020, Beijing, China
Abstract
This paper presents a new design method of infrared search and track systems, that is, optical-digital joint optimization design method for IR detection of unresolved target. It is different from the traditional design concept of optics-detector-preprocessor sequential and independent optimization. The merit function suitable for infrared unresolved target detection is constructed for the whole infrared search and track system, and the design parameters of optical lens, infrared detector and digital preprocessor are taken as optimization variables, and then the global optimization is carried out through effective algorithm to find the overall optimization results. The proposed method belongs to an advanced form of computational optical imaging, which relaxes the local design constraints, and has a greater degree of design freedom. The research results show that it is significantly better than the traditional method.
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Feng Zhou, He Chen, Tao Chen, and Xiaolong Wang "Optical-digital joint optimization of infrared search and track systems", Proc. SPIE 11563, AOPC 2020: Infrared Device and Infrared Technology, 115630N (5 November 2020); https://doi.org/10.1117/12.2580133
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KEYWORDS
Optical design
Infrared search and track
Infrared detectors
Signal to noise ratio
Target detection
Lens design
Point spread functions
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