Paper
9 December 2021 Noise analysis of optical satellite infrared detection system
Author Affiliations +
Proceedings Volume 12030, Third International Conference on Optoelectronic Science and Materials (ICOSM 2021); 120300Z (2021) https://doi.org/10.1117/12.2617374
Event: Third International Conference on Optoelectronic Science and Materials (ICOSM 2021), 2021, Hefei, China
Abstract
Intensive study on the system noise of infrared detection system in optical satellites could provide an important for the detection performance research and system design. The source of system noise of the infrared detection system in optical satellites is analyzed and the models of system noise including electronic noise, background noise and optic system noise are constructed. Firstly, the electronic noise model is built based by comprehensive analysis of system equivalent power and scan parameters; then, the earth and atmosphere background noise is established on the basis of the Combined Atmospheric Radiative Transfer software; lastly, the optic system heat radiation noise is studied using blackbody radiation theory. On the basis of those models, the electronic noise, background noise and optic system noise are studied, furthermore, the rule by which the system noise varies according to the changes of temperature and the influence on system noise of each noise source is studied. The results show that, firstly, the optic system noise could be ignored when the system temperature blowing 250K; secondly, the electronic noise is the primary source of system noise at 2.7μm and the background noise is the primary source at 2.7μm and 2.85μm4.19μm.
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Li Shao, Qing Ye, Zunyang Liu, Quan Zhou, and Hao Yu "Noise analysis of optical satellite infrared detection system", Proc. SPIE 12030, Third International Conference on Optoelectronic Science and Materials (ICOSM 2021), 120300Z (9 December 2021); https://doi.org/10.1117/12.2617374
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KEYWORDS
Signal to noise ratio

Satellites

Sensors

Target detection

Infrared radiation

Infrared detectors

Infrared detection

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